Francisco Herrera Triguero

Category

Doctor

Contact

herrera@decsai.qQ2x4d9JfDDugr.es

Organismo

UGR

Highly Cited Researcher 2014, 2015, 2016, 2017, 2018 and 2019 View CV


Researcher Profile

Total From 2015:
Citas Total: 88967 From 2015: 51858
Índice H Total: 146 From 2015: 112
Índice i10 Total: 596 From 2015: 484

Papers (983)

Title Authors Year
The minimum cost consensus model considering the implicit trust of opinions similarities in social network group decision‐making T Wu, X Liu, Z Gong, H Zhang, F Herrera. 2020
Consensus Reaching and Strategic Manipulation in Group Decision Making With Trust Relationships Y Dong, Q Zha, H Zhang, F Herrera. 2020
Smart Data based Ensemble for Imbalanced Big Data Classification D García-Gil, J Holmberg, S García, N Xiong, F Herrera. 2020
Tree Cover Estimation in Global Drylands from Space Using Deep Learning E Guirado, D Alcaraz-Segura, J Cabello, S Puertas-Ruíz, F Herrera, .... 2020
Large-Scale Decision-Making: characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective RX Ding, I Palomares, X Wang, GR Yang, B Liu, Y Dong, .... 2020
A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model Q Zhou, Z Wu, AH Altalhi, F Herrera. 2020
Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification M Lázaro, F Herrera, AR Figueiras-Vidal. 2020
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error S Tabik, RF Alvear-Sandoval, MM Ruiz, JL Sancho-Gómez, .... 2020
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance F Pérez-Hernández, S Tabik, A Lamas, R Olmos, H Fujita, F Herrera. 2020
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review J Castillo, S García, M del Mar Rueda, S Das, F Herrera. 2020
LUNAR: Cellular Automata for Drifting Data Streams JL Lobo, J Del Ser, F Herrera. 2020
Comprehensive Taxonomies of Nature-and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations D Molina, J Poyatos, J Del Ser, S García, A Hussain, F Herrera. 2020
A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods A Yu, Z Jia, W Zhang, K Deng, F Herrera. 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization AD Martinez, E Osaba, J Del Ser, F Herrera. 2020
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges H Zhang, S Zhao, G Kou, CC Li, Y Dong, F Herrera. 2020
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise S González, S García, ST Li, R John, F Herrera. 2020
Big Data Preprocessing: Enabling Smart Data J Luengo. 2020
Big Data Preprocessing. Enabling Smart Data; Springer, ISBN 978-3-030-39105-8 J Luengo, D García-Gil, SG Sergio Ramírez-Gallego, F Herrera. 2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis E Osaba, AD Martinez, JL Lobo, J Del Ser, F Herrera. 2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics A LaTorre, D Molina, E Osaba, J Del Ser, F Herrera. 2020
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal S Tabik, RF Alvear-Sandoval, MM Ruiz, JL Sancho-Gómez, .... 2020
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data J Maillo, I Triguero, F Herrera. 2020
Consensus Model Handling Minority Opinions and Noncooperative Behaviors in Large-Scale Group Decision-Making Under Double Hierarchy Linguistic Preference Relations. X Gou, Z Xu, H Liao, F Herrera. 2020
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges D Charte, F Charte, MJ del Jesus, F Herrera. 2020
Tweet Coupling: a social media methodology for clustering scientific publications SU Hassan, NR Aljohani, M Shabbir, U Ali, S Iqbal, R Sarwar, .... 2020
Artificial intelligence within the interplay between natural and artificial Computation: advances in data science, trends and applications JM Górriz, J Ramírez, A Ortíz, FJ Martínez-Murcia, F Segovia, J Suckling, .... 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images S Tabik, A Gómez-Ríos, JL Martín-Rodríguez, I Sevillano-García, .... 2020
Linguistic Opinions Dynamics based on Personalized Individual Semantics H Liang, CC Li, Y Dong, F Herrera. 2020
Irony detection in Twitter with imbalanced class distributions DIH Farías, R Prati, F Herrera, P Rosso. 2020
pyDML: A Python Library for Distance Metric Learning JL Suárez, S García, F Herrera. 2020
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems AJ Sanchez, LF Romero, D Peralta, MA Medina-Pérez, Y Saeys, .... 2020
Linguistic group decision making: Axiomatic distance and minimum cost consensus Y Li, X Chen, Y Dong, F Herrera. 2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa. ai FL framework and methodological guidelines for preserving data privacy N Rodríguez-Barroso, G Stipcich, D Jiménez-López, JA Ruiz-Millán, .... 2020
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect JD Pascual-Triana, D Charte, MA Arroyo, A Fernández, F Herrera. 2020
Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial O Luaces, F Herrera, JA Gámez, L Martínez, E Barrenechea, J Riquelme, .... 2020
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities S González, S García, J Del Ser, L Rokach, F Herrera. 2020
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects FL Sánchez, I Hupont, S Tabik, F Herrera. 2020
Dynamic Federated Learning Model for Identifying Adversarial Clients N Rodríguez-Barroso, E Martínez-Cámara, M Luzón, GG Seco, .... 2020
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li, Y Dong, F Herrera. 2020
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li, Y Dong, F Herrera. 2020
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li, Y Dong, F Herrera. 2020
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid C Zuheros, E Martínez-Cámara, E Herrera-Viedma, F Herrera. 2020
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid C Zuheros, E Martínez-Cámara, E Herrera-Viedma, F Herrera. 2020
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid C Zuheros, E Martínez-Cámara, E Herrera-Viedma, F Herrera. 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges AD Martinez, J Del Ser, E Villar-Rodriguez, E Osaba, J Poyatos, S Tabik, .... 2020
Measuring volatility based on ordered weighted average operators: Agricultural products prices case of use E León-Castro, LF Espinoza-Audelo, JM Merigó, E Herrera-Viedma, .... 2020
A novel methodology to classify test cases using natural language processing and imbalanced learning S Tahvili, L Hatvani, E Ramentol, R Pimentel, W Afzal, F Herrera. 2020
2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors J Giráldez-Cru, M Chica, O Cordón, F Herrera. 2020
Towards Smart Data Technologies for Big Data Analytics MJ Basgall, M Naiouf, F Herrera, A Fernández. 2020
HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules JR Trillo, A Fernandez, F Herrera. 2020
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges JL Suárez, S García, F Herrera. 2020
Incremental learning model inspired in Rehearsal for deep convolutional networks D Muñoz, C Narváez, C Cobos, M Mendoza, F Herrera. 2020
Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare X Gou, Z Xu, H Liao, F Herrera. 2020
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification A Lamas, S Tabik, P Cruz, R Montes, Á Martínez-Sevilla, T Cruz, .... 2020
CURIE: A Cellular Automaton for Concept Drift Detection JL Lobo, J Del Ser, E Osaba, A Bifet, F Herrera. 2020
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking E Osaba, J Del Ser, AD Martinez, JL Lobo, F Herrera. 2020
Dealing with difficult minority labels in imbalanced mutilabel data sets F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2019
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2019
Ruta: implementations of neural autoencoders in R D Charte, F Herrera, F Charte. 2019
Smartdata: data preprocessing to achieve smart data in R I Cordón, J Luengo, S García, F Herrera, F Charte. 2019
A Showcase of the Use of Autoencoders in Feature Learning Applications D Charte, F Charte, MJ del Jesus, F Herrera. 2019
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? A Fernandez, F Herrera, O Cordon, MJ del Jesus, F Marcelloni. 2019
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, B Krawczyk, .... 2019
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning A Castillo, S Tabik, F Pérez, R Olmos, F Herrera. 2019
Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning A Safonova, S Tabik, D Alcaraz-Segura, A Rubtsov, Y Maglinets, .... 2019
Deep recurrent neural network for geographical entities disambiguation on social media data C Zuheros, S Tabik, A Valdivia, E Martínez-Cámara, F Herrera. 2019
Redes Neuronales Convolucionales para Una Clasificacion Precisa de Imágenes de Corales A Gómez-Rıos, S Tabik, J Luengo, F Herrera, ASM Shihavuddin, .... 2019
Enabling smart data: noise filtering in big data classification D García-Gil, J Luengo, S García, F Herrera. 2019
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise RC Prati, J Luengo, F Herrera. 2019
E2SAM: Evolutionary Ensemble of Sentiment Analysis Methods for Domain Adaptation M López, A Valdivia, E Martínez-Cámara, MV Luzón, F Herrera. 2019
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems S Elhag, A Fernández, A Altalhi, S Alshomrani, F Herrera. 2019
Bio-inspired computation: Where we stand and what's next J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, .... 2019
Analysis of self‐confidence indices‐based additive consistency for fuzzy preference relations with self‐confidence and its application in group decision making X Liu, Y Xu, R Montes, Y Dong, F Herrera. 2019
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search M Leon, N Xiong, D Molina, F Herrera. 2019
Social network group decision making: Managing self-confidence-based consensus models with the dynamic importance degree of experts and trust-based feedback mechanism X Liu, Y Xu, R Montes, F Herrera. 2019
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions CC Li, Y Dong, Y Xu, F Chiclana, E Herrera-Viedma, F Herrera. 2019
Instance reduction for one-class classification B Krawczyk, I Triguero, S García, M Woźniak, F Herrera. 2019
Chain based sampling for monotonic imbalanced classification S González, S García, ST Li, F Herrera. 2019
A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and opposing consensus groups CC Li, Y Dong, F Herrera. 2019
DPASF: a flink library for streaming data preprocessing A Alcalde-Barros, D García-Gil, S García, F Herrera. 2019
Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy … H Liao, R Qin, C Gao, X Wu, A Hafezalkotob, F Herrera. 2019
An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges A Hafezalkotob, A Hafezalkotob, H Liao, F Herrera. 2019
Visualizing and rectifying different inconsistencies for fuzzy reciprocal preference relations Y Xu, F Herrera. 2019
Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors X Liu, Y Xu, F Herrera. 2019
Large-scale group decision making model based on social network analysis: trust relationship-based conflict detection and elimination B Liu, Q Zhou, RX Ding, I Palomares, F Herrera. 2019
Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making R Ding, X Wang, K Shang, B Liu, F Herrera. 2019
Revisiting inconsistent judgements for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies Y Xu, F Ma, F Herrera. 2019
An integrated method for cognitive complex multiple experts multiple criteria decision making based on ELECTRE III with weighted Borda rule H Liao, X Wu, X Mi, F Herrera. 2019
Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection A Hafezalkotob, A Hafezalkotob, H Liao, F Herrera. 2019
Transforming Big Data into Smart Data: An insight on the use of k-Nearest Neighbours algorithm to obtain quality data I Triguero, J Maillo, D García, J Luengo, S García, F Herrera. 2019
A Group Decision Making Approach Considering Self-confidence Behaviors and Its Application in Environmental Pollution Emergency Management X Liu, Y Xu, Y Ge, W Zhang, F Herrera. 2019
Generic Disjunctive Belief Rule Base Modeling, Inferencing, and Optimization LL Chang, ZJ Zhou, H Liao, Y Chen, X Tan, F Herrera. 2019
Group Decision Making with Double Hierarchy Hesitant Fuzzy Linguistic Preference Relations: Consistency based Measures, Index and Repairing Algorithms and Decision Model X Gou, H Liao, Z Xu, R Min, F Herrera. 2019
Consensus Reaching in Social Network DeGroot Model: The Roles of the Self-confidence and Node Degree Z Ding, X Chen, Y Dong, F Herrera. 2019
Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making M Tang, X Zhou, H Liao, J Xu, H Fujita, F Herrera. 2019
Consensus Evolution Networks: A Consensus Reaching tool for Managing Consensus Thresholds in Group Decision Making T Wu, X Liu, J Qin, F Herrera. 2019
Virtual learning environment to predict withdrawal by leveraging deep learning SU Hassan, H Waheed, NR Aljohani, M Ali, S Ventura, F Herrera. 2019
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0 J Para, J Del Ser, AJ Nebro, U Zurutuza, F Herrera. 2019
A Meta-Hierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity JC del Olmo, A Fernandez, F Herrera, J Gamez. 2019
Life satisfaction evaluation in earthquake-hit area by the probabilistic linguistic GLDS method integrated with the logarithm-multiplicative analytic hierarchy process H Liao, J Yu, X Wu, A Al-Barakati, A Altalhi, F Herrera. 2019
The Inconsistencies on TripAdvisor Reviews: a Unified Index between Users and Sentiment Analysis Methods A Valdivia, E Hrabova, I Chaturvedi, MV Luzón, L Troiano, E Cambria, .... 2019
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation D Valdes-Ramirez, MA Medina-Pérez, R Monroy, O Loyola-González, .... 2019
Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing X Mi, X Wu, M Tang, H Liao, A Al-Barakati, AH Altalhi, F Herrera. 2019
Social Network Analysis-Based Conflict Relationship Investigation and Conflict Degree-based Consensus Reaching Process for Large Scale Decision Making Using Sparse Representation RX Ding, X Wang, K Shang, F Herrera. 2019
Special Issue on Hybrid Artificial Intelligence Systems from the HAIS 2017 Conference–Editorial FJM de Pisón Ascacíbar, F Herrera, A Abraham, M Wozniak, E Corchado. 2019
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing MJ Basgall, W Hasperué, M Naiouf, A Fernández, F Herrera. 2019
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, F Herrera. 2019
Deep Learning in Video Multi-Object Tracking: A Survey G Ciaparrone, FL Sánchez, S Tabik, L Troiano, R Tagliaferri, F Herrera. 2019
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization D Molina, F Herrera. 2019
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making H Liao, X Gou, Z Xu, XJ Zeng, F Herrera. 2019
Consensus based on multiplicative consistent double hierarchy linguistic preferences: Venture capital in real estate market X Gou, H Liao, X Wang, Z Xu, F Herrera. 2019
Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data J Maillo, I Triguero, J Luengo, FH S. García. 2019
Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model B Liu, Q Zhou, RX Ding, W Ni, F Herrera. 2019
A First Approach on Big Data Missing Values Imputation B Montesdeoca, J Luengo, J Maillo, D García-Gil, S García, F Herrera. 2019
otsad: A Package for Online Time-Series Anomaly Detectors A Iturria, J Carrasco, S Charramendieta, A Conde, F Herrera. 2019
From Big to Smart Data: Iterative Ensemble Filter for Noise Filtering in Big Data classification FH Diego Garcia, Francisco Luque-Sánchez, Julián Luengo, Salvador García. 2019
BreakHis based Breast Cancer Automatic Diagnosis using Deep Learning: Taxonomy, Survey and Insights Y Benhammou, B Achchab, F Herrera, S Tabik. 2019
Whale counting in satellite and aerial images with deep learning E Guirado, S Tabik, ML Rivas, D Alcaraz-Segura, F Herrera. 2019
Guest Editorial: Computational Intelligence for Big Data Analytics A Fernandez, I Triguero, M Galar, F Herrera. 2019
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms N Rodríguez-Barroso, AR Moya, JA Fernández, E Romero, .... 2019
Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next H Liao, M Tang, R Qin, X Mi, A Altalhi, S Alshomrani, F Herrera. 2019
Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next H Liao, M Tang, R Qin, X Mi, A Altalhi, S Alshomrani, F Herrera. 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, .... 2019
Preprocessing methodology for time series: an industrial world application case study JA Cortés-Ibáñez, S González, JJ Valle-Alonso, J Luengo, S García, .... 2019
Deep Learning in Omics Data Analysis and Precision Medicine J Martorell-Marugán, S Tabik, Y Benhammou, C del Val, I Zwir, F Herrera, .... 2019
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems F Herrera, A Abraham, M Wózniak, H Peréz, E Corchado. 2019
Balance Dynamic Clustering Analysis and Consensus Reaching Process with Consensus Evolution Networks in Large-scale Group Decision Making T Wu, X Liu, J Qin, F Herrera. 2019
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries D Garcıa-Gil, A Alcalde-Barros, J Luengo, S Garcıa, F Herrera. 2019
Predicting literature’s early impact with sentiment analysis in Twitter SU Hassan, NR Aljohani, N Idrees, R Sarwar, R Nawaz, .... 2019
Decision making model based on expert evaluations extracted with sentiment analysis C Zuheros, E Martínez-Cámara, E Herrera-Viedma, F Herrera. 2019
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation. D Valdes-Ramirez, MA Medina-Pérez, R Monroy, O Loyola-González, .... 2019
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy CJ Carmona, MJ del Jesus, F Herrera. 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines D Charte, F Charte, S García, MJ del Jesus, F Herrera. 2018
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations D Charte, F Charte, S García, F Herrera. 2018
Tips, guidelines and tools for managing multi-label datasets: The mldr. datasets R package and the Cometa data repository F Charte, AJ Rivera, D Charte, MJ del Jesus, F Herrera. 2018
Automatic Handgun Detection Alarm in Videos Using Deep Learning R Olmos, S Tabik, F Herrera. 2018
A Binocular Image Fusion Approach for Minimizing False Positives in Handgun Detection with Deep Learning R Olmos, S Tabik, A Castillo, F Pérez, F Herrera. 2018
A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer Y Benhammou, S Tabik, B Achchab, F Herrera. 2018
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics J Muñoz-Ordóñez, C Cobos, M Mendoza, E Herrera-Viedma, F Herrera, .... 2018
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering AJ Sanchez, LF Romero, S Tabik, MA Medina-Pérez, F Herrera. 2018
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) JDELSER FRANCISCO HERRERA, SERGIO DAMAS, ROSANA MONTES, SERGIO ALONSO .... 2018
Automatic whale counting in satellite images with deep learning E Guirado, S Tabik, ML Rivas, D Alcaraz-Segura, F Herrera. 2018
Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions CC Li, RM Rodríguez, L Martínez, Y Dong, F Herrera. 2018
Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index CC Li, RM Rodríguez, L Martínez, Y Dong, F Herrera. 2018
CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring J Luengo, SO Shim, S Alshomrani, A Altalhi, F Herrera. 2018
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification J Maillo, J Luengo, S García, F Herrera, I Triguero. 2018
Consensus building with individual consistency control in group decision making CC Li, RM Rodríguez, L Martínez, Y Dong, F Herrera. 2018
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification J Luengo, D Sánchez-Tarragó, RC Prati, F Herrera. 2018
MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems D Martin, M Martinez-Ballesteros, D Garcia-Gil, J Alcala-Fdez, .... 2018
Advances in Artificial Intelligence E Bagheri, JCK Cheung. 2018
Computing with words: Revisiting the qualitative scale C Zuheros, CC Li, FJ Cabrerizo, Y Dong, E Herrera-Viedma, F Herrera. 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2018
A distributed evolutionary multivariate discretizer for big data processing on apache spark S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2018
Big data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce S Ramírez-Gallego, A Fernández, S García, M Chen, F Herrera. 2018
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach S Vluymans, A Fernández, Y Saeys, C Cornelis, F Herrera. 2018
Resumiendo Opiniones Negativas con Deep Learning y Reglas Descriptivas A Valdivia, E Martínez-Cámara, MV Luzón, F Herrera. 2018
Imbalance: oversampling algorithms for imbalanced classification in R I Cordón, S García, A Fernández, F Herrera. 2018
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules A Valdivia, E Martínez-Cámara, I Chaturvedi, MV Luzón, E Cambria, .... 2018
Consensus vote models for detecting and filtering neutrality in sentiment analysis A Valdivia, MV Luzón, E Cambria, F Herrera. 2018
An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions D Molina, A LaTorre, F Herrera. 2018
Alternative ranking-based clustering and reliability index-based consensus reaching process for hesitant fuzzy large scale group decision making X Liu, Y Xu, R Montes, RX Ding, F Herrera. 2018
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust R Montes, AM Sanchez, P Villar, F Herrera. 2018
SHADE with iterative local search for large-scale global optimization D Molina, A LaTorre, F Herrera. 2018
The use of fuzzy linguistic information and Fuzzy Delphi method to validate by consensus a questionnaire in a Blended-Learning environment J Morales, R Montes, N Zermeño, J Duran, F Herrera. 2018
Hesitant fuzzy linguistic term set and its application in decision making: a state-of-the-art survey H Liao, Z Xu, E Herrera-Viedma, F Herrera. 2018
SMOTE for Learning from Imbalanced Data: Progress and Challenges. Marking the 15-year Anniversary A Fernández, S Garcıa, F Herrera, NV Chawla. 2018
Dynamic ensemble selection for multi-class imbalanced datasets S García, ZL Zhang, A Altalhi, S Alshomrani, F Herrera. 2018
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera. 2018
Principal components analysis random discretization ensemble for big data D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2018
Distinguishing Between Facts and Opinions for Sentiment Analysis: Survey and Challenges I Chaturvedi, E Cambria, RE Welsch, F Herrera. 2018
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets ZL Zhang, XG Luo, S González, S García, F Herrera. 2018
Mc2esvm: multiclass classification based on cooperative evolution of support vector machines A Rosales-Pérez, S García, H Terashima-Marin, CAC Coello, F Herrera. 2018
Cognitive Computing: Human-Centered Computing with Cognitive Intelligence on Clouds M Chen, F Herrera, K Hwang. 2018
Online entropy-based discretization for data streaming classification S Ramírez-Gallego, S García, F Herrera. 2018
Probabilistic Linguistic MULTIMOORA: A Multi-Criteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule X Wu, H Liao, Z Xu, A Hafezalkotob, F Herrera. 2018
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software JL Suárez, S García, F Herrera. 2018
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala MC Heredia-Gómez, S García, PA Gutiérrez, F Herrera. 2018
Cooperative multi-objective evolutionary support vector machines for multiclass problems A Rosales-Pérez, AE Gutierrez-Rodríguez, S García, H Terashima-Marín, .... 2018
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2018
BELIEF: A distance-based redundancy-proof feature selection method for Big Data S Ramírez-Gallego, S García, N Xiong, F Herrera. 2018
Consensus Reaching Process for Large-scale Group Decision Making with Double Hierarchy Hesitant Fuzzy Linguistic Preference Relations X Gou, Z Xu, F Herrera. 2018
Intuitionistic fuzzy analytic network process HC Liao, XM Mi, ZS Xu, JP Xu, F Herrera. 2018
Mining association rules on Big Data through MapReduce genetic programming F Padillo, JM Luna, F Herrera, S Ventura. 2018
A new hesitant fuzzy linguistic ORESTE method for hybrid multi-criteria decision making HC Liao, XL Wu, XD Liang, JP Xu, F Herrera. 2018
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making H Liao, X Wu, X Liang, JB Yang, DL Xu, F Herrera. 2018
A multi-objective evolutionary approach to training set selection for support vector machine G Acampora, F Herrera, G Tortora, A Vitiello. 2018
Multi-Label Classification using a Fuzzy Rough Neighborhood Consensus S Vluymans, C Cornelis, F Herrera, Y Saeys. 2018
Dynamic ensemble selection for multi-class classification with one-class classifiers B Krawczyk, M Galar, M Woźniak, H Bustince, F Herrera. 2018
Multiple Criteria Decision Making based on Distance and Similarity Measures under Double Hierarchy Hesitant Fuzzy Linguistic environment X Gou, Z Xu, H Liao, F Herrera. 2018
Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy RM Rodriguez, Y Xu, L Martinez, F Herrera. 2018
Underground mining method selection with the hesitant fuzzy linguistic gained and lost dominance score method Z Fu, X Wu, H Liao, F Herrera. 2018
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers D Galpert, A Fernández, F Herrera, A Antunes, R Molina-Ruiz, .... 2018
On a new methodology for ranking fuzzy numbers and its application to real economic data A Roldan, C Roldán, F Herrera. 2018
DNBMA: A Double Normalization-Based Multi-Aggregation Method H Liao, X Wu, F Herrera. 2018
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data MJ Basgall, W Hasperué, M Naiouf, A Fernández, F Herrera. 2018
Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications H Liao, Z Xu, F Herrera, JM Merigó. 2018
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark M Galar, I Triguero, H Bustince, F Herrera. 2018
Red Neural Recurrente para la Desambiguacion de Entidades en Datos de Medios Sociales C Zuheros, S Tabik, A Valdivia, E Martınez-Cámara, F Herrera. 2018
k-Vecinos más Cercanos Difuso para Clasificación Monotónica S González, S García, ST Li, R John, F Herrera. 2018
Un enfoque aproximado para acelerar el algoritmo de clasificacion Fuzzy kNN para Big Data J Maillo, J Luengo, S Garcıa, F Herrera, I Triguero. 2018
Bagging-RandomMiner-Un Algoritmo en MapReduce para Deteccion de Anomalıas en Big Data L Pereyra, D Garcıa-Gil, F Herrera, LC González-Gurrola, J Carrasco, .... 2018
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Experiments JL Suárez, S García, F Herrera. 2018
An insight into evolutionary algorithms for continuous optimization: learning by competitions D Molina, AL de la Fuente, F Herrera. 2018
SHADE con búsqueda local iterativa para optimización global de alta dimensionalidad D Molina, AL de la Fuente, F Herrera. 2018
Evaluacion de estrategias de binarizacion en la clasificacion de imágenes usando deep learning F Pérez, S Tabik, A Castillo, H Fujita, F Herrera. 2018
Competicion CAEPIA-App: MonuMAI, una app para incrementar el valor social del patrimonio-arquitectonico andaluz F Herrera, A Martinez-Sevilla, S Tabik, R Montes, A Castillo, TC Sánchez, .... 2018
Preprocesamiento guiado por luminosidad para la deteccion automática de armas blancas en video vigilancia con Deep Learning A Castillo, S Tabik, F Pérez, R Olmos, F Herrera. 2018
NMC, Nearest Matrix Classification: A new combination model for pruning one-vs-one ensembles by transforming the aggregation problem MG Idoate, A Fernández, EB Tartas, HB Sola, F Herrera. 2018
Deteccion del Fracaso Académico y Evaluacion de la Práctica Docente mediante la Comunicacion Automatizada con un Chatbot JM Morales, R Montes, F Herrera. 2018
Modelo de evaluacion de la usabilidad de entornos web basado en las metodologıas de computing with words y design thinking. Caso de uso en entornos virtuales de aprendizaje N Zermeno, R Montes, F Herrera. 2018
Toma de decisiones a gran escala usando evaluacion parcial de criterios. Caso aplicado a evaluacion de conferencias J Duran, R Montes, F Herrera. 2018
Fuzzy linguistic ranking model for Web Accessibility Test tools N Zermeno, LDDR Calache, R Montes, F Herrera. 2018
Advances in Artificial Intelligence: 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23–26, 2018, Proceedings F Herrera, S Damas, R Montes, S Alonso, Ó Cordón, A González, .... 2018
A first approach towards a fuzzy decision tree for multilabel classification RC Prati, F Charte, F Herrera. 2017
KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, .... 2017
Deep-learning versus OBIA for scattered shrub detection with Google Earth imagery: Ziziphus lotus as case study E Guirado, S Tabik, D Alcaraz-Segura, J Cabello, F Herrera. 2017
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST S Tabik, D Peralta, A Herrera-Poyatos, F Herrera. 2017
Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching CC Li, Y Dong, F Herrera, E Herrera-Viedma, L Martínez. 2017
Managing consensus based on leadership in opinion dynamics Y Dong, Z Ding, L Martínez, F Herrera. 2017
Exact fuzzy k-nearest neighbor classification for big datasets J Maillo, J Luengo, S García, F Herrera, I Triguero. 2017
A study on the noise label influence in boosting algorithms: AdaBoost, GBM and XGBoost A Gómez-Ríos, J Luengo, F Herrera. 2017
The noisefiltersr package: label noise preprocessing in R P Morales, J Luengo, LPF Garcia, AC Lorena, AC de Carvalho, F Herrera. 2017
A consistency-driven approach to set personalized numerical scales for hesitant fuzzy linguistic preference relations CC Li, RM Rodríguez, F Herrera, L Martinez, Y Dong. 2017
Fast‐mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High‐Dimensional Big Data S Ramírez‐Gallego, I Lastra, D Martínez‐Rego, V Bolón‐Canedo, .... 2017
An information theory-based feature selection framework for big data under apache spark S Ramírez-Gallego, H Mouriño-Talín, D Martínez-Rego, V Bolón-Canedo, .... 2017
Nearest neighbor classification for high-speed big data streams using spark S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, JM Benítez, .... 2017
Minutiae-based fingerprint matching decomposition: methodology for big data frameworks D Peralta, S García, JM Benitez, F Herrera. 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
SMOTE-GPU: Big data preprocessing on commodity hardware for imbalanced classification PD Gutiérrez, M Lastra, JM Benítez, F Herrera. 2017
An insight into imbalanced Big Data classification: outcomes and challenges A Fernández, S del Río, NV Chawla, F Herrera. 2017
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis A Fernández, S del Río, A Bawakid, F Herrera. 2017
NMC: nearest matrix classification–A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera. 2017
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications? A Fernández, S Alshomrani, A Altalhi, F Herrera. 2017
GPU Processing for Biometric Big Data Based Identification. Why and what for? M Lastra, PD Gutiérrez, JM Benítez, F Herrera. 2017
Sentiment analysis in tripadvisor A Valdivia, MV Luzón, F Herrera. 2017
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? A Valdivia, MV Luzón, F Herrera. 2017
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness C García-Martínez, PD Gutiérrez, D Molina, M Lozano, F Herrera. 2017
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? D Molina, F Moreno-García, F Herrera. 2017
A decision making model to evaluate the reputation in social networks using HFLTS R Montes, AM Sanchez, P Villar, F Herrera. 2017
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data J Maillo, S Ramírez, I Triguero, F Herrera. 2017
A survey on data preprocessing for data stream mining: Current status and future directions S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, F Herrera. 2017
Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures X Gou, H Liao, Z Xu, F Herrera. 2017
A comparison on scalability for batch big data processing on Apache Spark and Apache Flink D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2017
Class switching according to nearest enemy distance for learning from highly imbalanced data-sets S Gónzalez, S García, M Lázaro, AR Figueiras-Vidal, F Herrera. 2017
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme ZL Zhang, XG Luo, S García, JF Tang, F Herrera. 2017
A linear programming method for multiple criteria decision making with probabilistic linguistic information H Liao, L Jiang, Z Xu, J Xu, F Herrera. 2017
rnpbst: An R package covering non-parametric and bayesian statistical tests J Carrasco, S García, M del Mar Rueda, F Herrera. 2017
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers ZL Zhang, XG Luo, S García, F Herrera. 2017
A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets A Fernández, CJ Carmona, MJ Jesus, F Herrera. 2017
An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles A Rosales-Perez, S Garcia, JA Gonzalez, CAC Coello, F Herrera. 2017
Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems A Fernandez, E Almansa, F Herrera. 2017
A first attempt on global evolutionary undersampling for imbalanced big data I Triguero, M Galar, H Bustince, F Herrera. 2017
Volume, variety and velocity in Data Science A Alonso-Betanzos, JA Gámez, F Herrera, JM Puerta, JC Riquelme. 2017
Neutrality in the sentiment analysis problem based on fuzzy majority A Valdivia, MV Luzón, F Herrera. 2017
A Review of Distributed Data Models for Learning MÁ Rodríguez, A Fernández, A Peregrín, F Herrera. 2017
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification A Herrera-Poyatos, F Herrera. 2017
Big Data Supervised Pairwise Ortholog Detection in Yeasts DG Cañizares, S del Río García, F Herrera, EA Gallardo, A Antunes, .... 2017
MapReduce distributed highly random fuzzy forest for noisy big data F Mustafic, F Herera, N Xiong, SR Gallego. 2017
Guest Editorial Special Section on Fuzzy Systems in Data Science J Lu, F Herrera, G Zhang. 2017
Guest Editorial: Recent Trends in Intelligent Systems JA Gámez, F Herrera, JM Puerta. 2017
Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)[Conference Reports] G Acampora, B Siciliano, H Hagras, F Herrera. 2017
A view on fuzzy systems for big data: progress and opportunities A Fernández, CJ Carmona, MJ del Jesus, F Herrera. 2016
R ultimate multilabel dataset repository F Charte, D Charte, A Rivera, MJ del Jesus, F Herrera. 2016
On the impact of dataset complexity and sampling strategy in multilabel classifiers performance F Charte, A Rivera, MJ del Jesus, F Herrera. 2016
A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress RM Rodríguez, B Bedregal, H Bustince, YC Dong, B Farhadinia, .... 2016
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining S García, J Luengo, F Herrera. 2016
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera. 2016
INFFC: an iterative class noise filter based on the fusion of classifiers with noise sensitivity control JA Sáez, M Galar, J Luengo, F Herrera. 2016
Evaluating the classifier behavior with noisy data considering performance and robustness: The equalized loss of accuracy measure JA Sáez, J Luengo, F Herrera. 2016
From big data to smart data with the k-nearest neighbours algorithm I Triguero, J Maillo, J Luengo, S García, F Herrera. 2016
A first study on the use of boosting for class noise reparation PM Álvarez, J Luengo, F Herrera. 2016
A review of hesitant fuzzy sets: Quantitative and qualitative extensions RM Rodríguez, L Martínez, F Herrera, V Torra. 2016
NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules D Martín, J Alcalá-Fdez, A Rosete, F Herrera. 2016
An optimization-based approach to estimate the range of consistency in hesitant fuzzy linguistic preference relations CC Li, Y Dong, F Herrera, L Martínez. 2016
Data discretization: taxonomy and big data challenge S Ramírez‐Gallego, S García, H Mouriño‐Talín, D Martínez‐Rego, .... 2016
CONSISTENCY OF HESITANT FUZZY PREFERENCE RELATIONS RM RODRÍGUEZ, F HERRERA, Y XU, L MARTÍNEZ. 2016
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs PD Gutiérrez, M Lastra, J Bacardit, JM Benítez, F Herrera. 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2016
A forecasting methodology for workload forecasting in cloud systems FJ Baldán, S Ramírez-Gallego, C Bergmeir, F Herrera, JM Benítez. 2016
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2016
Ordering-Based Pruning for Improving the Performance of Ensembles of Classifiers in the Framework of Imbalanced Datasets M Galar, A Fernandez, E Barrenechea, H Bustince, H Francisco. 2016
Enhancing Evolutionary Fuzzy Systems for Multi-Class Problems: Distance-based Relative Competence Weighting with Truncated Confidences (DRCW-TC) A Fernandez, M Elkano, M Galar, JA Sanz, S Alshomrani, H Bustince, .... 2016
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization S Salcedo-Sanz, C Camacho-Gómez, D Molina, F Herrera. 2016
Region-based memetic algorithm with archive for multimodal optimisation B Lacroix, D Molina, F Herrera. 2016
Fuzzy-Citation-KNN: a fuzzy nearest neighbor approach for multi-instance classification P Villar, R Montes, AM Sánchez, F Herrera. 2016
Una aproximación difusa del vecino más cercano para clasificación multi-instancia P Villar, R Montes, AM Sanchez, F Herrera. 2016
Aplicación del uso de valoraciones hesitant lingüísticas en una red social de economía colaborativa R Montes, AM Sanchez, P Villar, F Herrera. 2016
A historical account of types of fuzzy sets and their relationships H Bustince, E Barrenechea, M Pagola, J Fernandez, Z Xu, B Bedregal, .... 2016
Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information Y Dong, CC Li, F Herrera. 2016
Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making Y Xu, L Chen, RM Rodríguez, F Herrera, H Wang. 2016
Multilabel Classification: Problem Analysis, Metrics and Techniques F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Evolutionary Undersampling Boosting for Imbalanced Classification of Breast Cancer Malignancy B Krawczyk, M Galar, Ł Jeleń, F Herrera. 2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data Z Zhang, B Krawczyk, S Garcìa, A Rosales-Pérez, F Herrera. 2016
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets J Derrac, F Chiclana, S García, F Herrera. 2016
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis N Verbiest, J Derrac, C Cornelis, S García, F Herrera. 2016
Multiple Instance Learning: Foundations and Algorithms F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations Y Xu, F Herrera, H Wang. 2016
Managing monotonicity in classification by a pruned adaboost S González, F Herrera, S García. 2016
Evolutionary undersampling for extremely imbalanced big data classification under apache spark I Triguero, M Galar, D Merino, J Maillo, H Bustince, F Herrera. 2016
Fuzzy Rough Classifiers for Class Imbalanced Multi-instance Data S Vluymans, DS Tarragó, Y Saeys, C Cornelis, F Herrera. 2016
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm E Ramentol, I Gondres, S Lajes, R Bello, Y Caballero, C Cornelis, .... 2016
Comments on “Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wide view on their relationship”[2] J Mendel, H Hagras, H Bustince Sola, F Herrera. 2016
On the combination of pairwise and granularity learning for improving fuzzy rule-based classification systems: GL-FARCHD-OVO P Villar, A Fernández, F Herrera. 2016
Fuzzy Multi-Instance Classifiers S Vluymans, D Sanchez Tarrago, Y Saeys, C Cornelis, F Herrera. 2016
A first approach in evolutionary fuzzy systems based on the lateral tuning of the linguistic labels for big data classification A Fernández, S del Río, F Herrera. 2016
Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution M Leon, Y Zenlander, N Xiong, F Herrera. 2016
Trust management for multimedia big data Z Yan, J Liu, RH Deng, F Herrera. 2016
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera. 2016
Big Data: Preprocesamiento y calidad de datos F Herrera. 2016
DESIGNING FUZZY SYSTEMS FOR BIG DATA: CHALLENGES AND OPPORTUNITIES F HERRERA. 2016
Intercambio de Clases de acuerdo a la Distancia al Enemigo más Cercano para Problemas con Clases altamente No Balanceadas S González, M Lázaro, AR Figueiras-Vidal, S Garcıa, F Herrera. 2016
Un Estudio sobre el Preprocesamiento para Redes Neuronales Profundas y Aplicación sobre Reconocimiento de Dıgitos Manuscritos D Peralta, A Herrera-Poyatos, F Herrera. 2016
Addressing imbalance in multilabel classification: Measures and random resampling algorithms F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2015
QUINTA: a question tagging assistant to improve the answering ratio in electronic forums F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2015
Resampling multilabel datasets by decoupling highly imbalanced labels F Charte, A Rivera, MJ del Jesus, F Herrera. 2015
Revisiting evolutionary fuzzy systems: Taxonomy, applications, new trends and challenges A Fernandez, V Lopez, MJ del Jesus, F Herrera. 2015
Addressing overlapping in classification with imbalanced datasets: A first multi-objective approach for feature and instance selection A Fernández, MJ del Jesus, F Herrera. 2015
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering JA Sáez, J Luengo, J Stefanowski, F Herrera. 2015
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems LPF Garcia, JA Sáez, J Luengo, AC Lorena, AC de Carvalho, F Herrera. 2015
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures J Luengo, F Herrera. 2015
Computing with words for decision making versus linguistic decision making: a reflection on both scenarios F Herrera, E Herrera-Viedma, L Martínez. 2015
A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information RM Rodríguez, L Martínez, F Herrera. 2015
HYBRID COMPUTATIONAL INTELLIGENCE A Fernández, R Alcalá, JM Benítez, F Herrera. 2015
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data V López, S Del Río, JM Benítez, F Herrera. 2015
frbs: Fuzzy rule-based systems for classification and regression in R LS Riza, CN Bergmeir, F Herrera, JM Benítez Sánchez. 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, .... 2015
ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S del Río, V López, J Bacardit, JM Benítez, F Herrera. 2015
A mapreduce approach to address big data classification problems based on the fusion of linguistic fuzzy rules S del Rio, V Lopez, JM Benítez, F Herrera. 2015
Evolutionary feature selection for big data classification: A mapreduce approach D Peralta, S del Río, S Ramírez-Gallego, I Triguero, JM Benitez, F Herrera. 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
Multivariate discretization based on evolutionary cut points selection for classification S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2015
Fast fingerprint identification using GPUs M Lastra, J Carabaño, PD Gutiérrez, JM Benítez, F Herrera. 2015
Distributed entropy minimization discretizer for big data analysis under apache spark S Ramírez-Gallego, S García, H Mouriño-Talín, D Martínez-Rego, .... 2015
Analysis of data preprocessing increasing the oversampling ratio for extremely imbalanced big data classification S del Río, JM Benítez, F Herrera. 2015
Package ‘RoughSets’ LS Riza, A Janusz, D Slezak, C Cornelis, F Herrera, JM Benitez, .... 2015
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on intrusion detection systems S Elhag, A Fernández, A Bawakid, S Alshomrani, F Herrera. 2015
DRCW-OVO: distance-based relative competence weighting combination for one-vs-one strategy in multi-class problems M Galar, A Fernández, E Barrenechea, F Herrera. 2015
A proposal for evolutionary fuzzy systems using feature weighting: dealing with overlapping in imbalanced datasets S Alshomrani, A Bawakid, SO Shim, A Fernández, F Herrera. 2015
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm A Fernández, M Galar, JA Sanz, H Bustince, O Cordón, F Herrera. 2015
A walk into metaheuristics for engineering optimization: principles, methods and recent trends N Xiong, D Molina, ML Ortiz, F Herrera. 2015
Iterative hybridization of DE with local search for the CEC'2015 special session on large scale global optimization D Molina, F Herrera. 2015
A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets R Montes, AM Sánchez, P Villar, F Herrera. 2015
Hibridación iterativa de DE con búsqueda local con reinicio para problemas de alta dimensionalidad D Molina, F Herrera. 2015
Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level P Villar, A Fernández, R Montes, AM Sánchez, F Herreraz. 2015
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study I Triguero, S García, F Herrera. 2015
MRPR: A MapReduce solution for prototype reduction in big data classification I Triguero, D Peralta, J Bacardit, S García, F Herrera. 2015
Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making Y Dong, X Chen, F Herrera. 2015
Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship H Bustince Sola, J Fernandez, H Hagras, F Herrera, M Pagola, .... 2015
A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data J Sanz, D Bernardo, F Herrera, H Bustince Sola, H Hagras. 2015
Máster en Ciencia de Datos e Ingeniería de Computadores: una apuesta por la formación especializada en el sector de las TIC F Rojas Ruiz, A Cano Utrera, M Gómez Olmedo, J Ortega Lopera, .... 2015
The 2-tuple Linguistic Model: Computing with Words in Decision Making L Martínez, RM Rodriguez, F Herrera. 2015
Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies M Elkano, M Galar, J Sanz, A Fernandez, E Barrenechea, F Herrera, .... 2015
An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level Y Dong, CC Li, F Herrera. 2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification I Triguero, S García, F Herrera. 2015
A mapreduce-based k-nearest neighbor approach for big data classification J Maillo, I Triguero, F Herrera. 2015
Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity S González, F Herrera, S García. 2015
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification E Ramentol, S Vluymans, N Verbiest, Y Caballero, R Bello Perez, .... 2015
On the Usefulness of One-Class Classifier Ensembles for Decomposition of Multi-Class Problems B Krawczyk, M Woźniak, F Herrera. 2015
Javanpst: Nonparametric statistical tests in java J Derrac, S García, F Herrera. 2015
Managing monotonicity in classification by a pruned random forest S González, F Herrera, S García. 2015
An interval valued k-nearest neighbors classifier J Derrac, F Chiclana, S Garcia, F Herrera. 2015
Evolutionary undersampling for imbalanced big data classification I Triguero, M Galar, S Vluymans, C Cornelis, H Bustince, F Herrera, .... 2015
An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species D Galpert, S del Río, F Herrera, E Ancede-Gallardo, A Antunes, .... 2015
A tour on big data classification: Selected Computational Intelligence approaches F Herrera. 2015
Máster en Ciencia de Datos e Ingeniería de Computadores: una apuesta por la formación especializada en el sector TIC F Rojas, A Cano, M Gómez, J Ortega, F Herrera, R Romero-Zaliz, .... 2015
Classification of binary imbalanced data using a bayesian ensemble of bayesian neural networks M Lázaro, F Herrera, AR Figueiras-Vidal. 2015
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection A Fernández, M Galar, JA Sanz, H Bustince, F Herrera. 2015
Clasificación Monotónica mediante poda de Bosques Aleatorios S González, F Herrera, S Garcıa. 2015
Un enfoque MapReduce del algoritmo k-vecinos más cercanos para Big Data J Maillo, I Triguero, F Herrera. 2015
Pairwise Ortholog Detection in Related Yeast Species by Using Big Data Supervised Classifications DG Cañizares, S del Río García, F Herrera, EA Gallardo, A Antunes, .... 2015
Addressing imbalanced classification with instance generation techniques: IPADE-ID V López, I Triguero, CJ Carmona, S García, F Herrera. 2014
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms CJ Carmona, P González, MJ del Jesus, F Herrera. 2014
Concurrence among imbalanced labels and its influence on multilabel resampling algorithms F Charte, A Rivera, MJ del Jesus, F Herrera. 2014
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification F Charte, AJ Rivera, MJ Del Jesus, F Herrera. 2014
FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions FJ Estrella, M Espinilla, F Herrera, L Martínez. 2014
MLeNN: a first approach to heuristic multilabel undersampling F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2014
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, .... 2014
Hesitant fuzzy sets: state of the art and future directions RM Rodríguez, L Martínez, V Torra, ZS Xu, F Herrera. 2014
Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study I Palomares, FJ Estrella, L Martínez, F Herrera. 2014
MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making I Palomares, L Martínez, F Herrera. 2014
Data Preprocessing in Data Mining S García, J Luengo, F Herrera. 2014
Analyzing the presence of noise in multi-class problems: alleviating its influence with the one-vs-one decomposition JA Sáez, M Galar, J Luengo, F Herrera. 2014
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification I Triguero, JA Sáez, J Luengo, S García, F Herrera. 2014
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers JA Sáez, J Derrac, J Luengo, F Herrera. 2014
Managing borderline and noisy examples in imbalanced classification by combining SMOTE with ensemble filtering JA Sáez, J Luengo, J Stefanowski, F Herrera. 2014
Hesitant Fuzzy Sets: An Emerging Tool in Decision Making. F Herrera, L Martínez-López, V Torra, Z Xu. 2014
Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes JA Sáez, J Derrac, J Luengo, F Herrera. 2014
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules D Martín, A Rosete, J Alcalá-Fdez, F Herrera. 2014
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification … M Fazzolari, R Alcalá, F Herrera. 2014
A review of microarray datasets and applied feature selection methods V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos, JM Benítez, .... 2014
On the use of MapReduce for imbalanced big data using Random Forest S Del Río, V López, JM Benítez, F Herrera. 2014
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “roughsets” LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez. 2014
Fast fingerprint identification for large databases D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez. 2014
E-learning and educational data mining in cloud computing: an overview A Fernández, D Peralta, JM Benítez, F Herrera. 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms D Peralta, M Galar, I Triguero, O Miguel-Hurtado, JM Benitez, F Herrera. 2014
Learning from data using the R package" FRBS" LS Riza, C Bergmeir, F Herrera, JM Benitez. 2014
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data V López, S del Rio, JM Benitez, F Herrera. 2014
Constructing fuzzy rule-based systems with the R package “frbs” LS Riza, C Bergmeir, F Herrera, JM Benítez. 2014
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed V López, A Fernández, F Herrera. 2014
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems M Galar, A Fernández, E Barrenechea, F Herrera. 2014
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions M Galar, E Barrenechea, A Fernández, F Herrera. 2014
Region based memetic algorithm for real-parameter optimisation B Lacroix, D Molina, F Herrera. 2014
Influence of regions on the memetic algorithm for the cec'2014 special session on real-parameter single objective optimisation D Molina, B Lacroix, F Herrera. 2014
Designing a compact genetic fuzzy rule-based system for one-class classification P Villar, B Krawczyk, AM Sánchez, R Montes, F Herrera. 2014
A Consensus Model to Detect and Manage Non-Cooperative Behaviors in Large Scale Group Decision Making I Palomares, L Martınez, F Herrera. 2014
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects J Derrac, S García, F Herrera. 2014
A New Multi-Objective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules D Martin, A Rosete, J Alcalá-Fdez, F Herrera. 2014
Analyzing convergence performance of evolutionary algorithms: a statistical approach J Derrac, S García, S Hui, PN Suganthan, F Herrera. 2014
Metsk-hd e: A multiobjective evolutionary algorithm to learn accurate tsk-fuzzy systems in high-dimensional and large-scale regression problems MJ Gacto, M Galende, R Alcalá, F Herrera. 2014
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection N Verbiest, E Ramentol, C Cornelis, F Herrera. 2014
A combined mapreduce-windowing two-level parallel scheme for evolutionary prototype generation I Triguero, D Peralta, J Bacardit, S García, F Herrera. 2014
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification B Krawczyk, I Triguero, S García, M Woźniak, F Herrera. 2014
On the statistical analysis of the parameters’ trend in a machine learning algorithm S García, J Derrac, S Ramírez-Gallego, F Herrera. 2014
An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities N Robinson-García, D Torres-Salinas, ED López-Cózar, F Herrera. 2014
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation DS Tarragó, C Cornelis, R Bello, F Herrera. 2014
Weighted one-class classification for different types of minority class examples in imbalanced data B Krawczyk, M Woźniak, F Herrera. 2014
Connecting the numerical scale model to the unbalanced linguistic term sets Y Dong, CC Li, F Herrera. 2014
A preliminary study on fingerprint classification using fuzzy rule-based classification systems M Galar, J Sanz, M Pagola, H Bustince, F Herrera. 2014
Challenges of computing with words in decision making L Martínez, F Herrera. 2014
Big data: Procesando los datos en la sociedad digital F Herrera. 2014
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System M Elkano, M Galar, J Sanz, E Barrenechea, F Herrera, H Bustince. 2014
Information Fusion: Greetings from the new Editor-in-Chief F Herrera. 2014
Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems MJ Gacto, M Galende, R Alcalá, F Herrera. 2013
A first approach to deal with imbalance in multi-label datasets F Charte, A Rivera, MJ del Jesus, F Herrera. 2013
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches A FernáNdez, V LóPez, M Galar, MAJ Del Jesus, F Herrera. 2013
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets V LóPez, A FernáNdez, MAJ Del Jesus, F Herrera. 2013
Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification JA SáEz, JN Luengo, F Herrera. 2013
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness JA SáEz, M Galar, JN Luengo, F Herrera. 2013
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets JA Sáez, M Galar, J Luengo, F Herrera. 2013
Eliciting comparative linguistic expressions in group decision making RM Rodríguez, L Martínez, F Herrera. 2013
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off M Fazzolari, B Giglio, R Alcalá, F Marcelloni, F Herrera. 2013
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera. 2013
A high performance fingerprint matching system for large databases based on GPU PD Gutierrez, M Lastra, F Herrera, JM Benitez. 2013
Fuzzy Clustering Approach for Non-cooperative Behavior Detection in Consensus Reaching Processes I Palomares, L Martínez, F Herrera. 2013
An overview on the structure and applications for business intelligence and data mining in cloud computing A Fernández, S del Río, F Herrera, JM Benítez. 2013
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics V López, A Fernández, S García, V Palade, F Herrera. 2013
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling M Galar, A Fernández, E Barrenechea, F Herrera. 2013
IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection JA Sanz, A Fernandez, H Bustince, F Herrera. 2013
Dynamic classifier selection for one-vs-one strategy: avoiding non-competent classifiers M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera. 2013
Addressing covariate shift for genetic fuzzy systems classifiers: a case of study with FARC-HD for imbalanced datasets V López, A Fernández, F Herrera. 2013
Variable mesh optimization for the 2013 CEC special session niching methods for multimodal optimization D Molina, A Puris, R Bello, F Herrera. 2013
Dynamically updated region based memetic algorithm for the 2013 CEC special session and competition on real parameter single objective optimization B Lacroix, D Molina, F Herrera. 2013
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets RM Rodríguez, L Martı́nez, F Herrera. 2013
A review of the application of multi-objective evolutionary fuzzy systems: Current status and further directions M Fazzolari, R Alcalá, Y Nojima, H Ishibuchi, F Herrera. 2013
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection J Derrac, N Verbiest, S García, C Cornelis, F Herrera. 2013
FRPS: A fuzzy rough prototype selection method N Verbiest, C Cornelis, F Herrera. 2013
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS J Derrac, S Garcia, S Hui, F Herrera, PN Suganthan. 2013
On the use of biplot analysis for multivariate bibliometric and scientific indicators D Torres‐Salinas, N Robinson‐García, E Jiménez‐Contreras, F Herrera, .... 2013
The role of national university rankings in an international context: The case of the I-UGR Rankings of Spanish Universities N Robinson-García, JG Moreno-Torres, D Torres-Salinas, .... 2013
OWA-FRPS: A prototype selection method based on ordered weighted average fuzzy rough set theory N Verbiest, C Cornelis, F Herrera. 2013
Our Collaboration with Da F Herrera, E Herrera-Viedma. 2013
Special Issue on Evolutionary Fuzzy Systems EFSs R Alcalá, Y Nojima, H Ishibuchi, F Herrera. 2013
7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing L Uden, F Herrera, JB Pérez, JMC Rodriguez. 2013
Evolutionary-based selection of generalized instances for imbalanced classification S Garcı, I Triguero, CJ Carmona, F Herrera. 2012
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. S García, V López, J Luengo, CJ Carmona, F Herrera. 2012
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems MJ Gacto, R Alcalá, F Herrera. 2012
Improving multi-label classifiers via label reduction with association rules F Charte, A Rivera, MJ del Jesus, F Herrera. 2012
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges L Martı, F Herrera. 2012
A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning S Garcia, J Luengo, JA Sáez, V Lopez, F Herrera. 2012
On the choice of the best imputation methods for missing values considering three groups of classification methods J Luengo, S García, F Herrera. 2012
Missing data imputation for fuzzy rule-based classification systems J Luengo, JA Sáez, F Herrera. 2012
Shared domains of competence of approximate learning models using measures of separability of classes J Luengo, F Herrera. 2012
A first study on decomposition strategies with data with class noise using decision trees JA Sáez, M Galar, J Luengo, F Herrera. 2012
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, G Olague, F Herrera. 2012
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers B Giglio, F Marcelloni, M Fazzolari, R Alcala, F Herrera. 2012
Special issue on “new trends in data mining” NTDM JM Benítez, N García-Pedrajas, F Herrera. 2012
A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera. 2012
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics V López, A Fernández, JG Moreno-Torres, F Herrera. 2012
Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets P Villar, A Fernandez, RA Carrasco, F Herrera. 2012
IIVFDT: Ignorance functions based interval-valued fuzzy decision tree with genetic tuning J Sanz, H Bustince, A Fernández, F Herrera. 2012
Linguistic fuzzy rules in data mining: follow-up Mamdani fuzzy modeling principle A Fernández, F Herrera. 2012
SciMAT: A new science mapping analysis software tool MJ Cobo, AG López‐Herrera, E Herrera‐Viedma, F Herrera. 2012
A Note on the ITS Topic Evolution in the Period 2000–2009 at T-ITS MJ Cobo, AG López-Herrera, F Herrera, E Herrera-Viedma. 2012
Variable mesh optimization for continuous optimization problems A Puris, R Bello, D Molina, F Herrera. 2012
Region based memetic algorithm with LS chaining B Lacroix, D Molina, F Herrera. 2012
Optimising real parameters using the information of a mesh of solutions: VMO algorithm A Puris, R Bello, D Molina, F Herrera. 2012
Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions J Marín, D Molina, F Herrera. 2012
Hesitant Fuzzy Linguistic Terms Sets for Decision Making R Rodriguez, L Martinez, F Herrera. 2012
A unifying view on dataset shift in classification JG Moreno-Torres, T Raeder, R Alaiz-Rodríguez, NV Chawla, F Herrera. 2012
A taxonomy and experimental study on prototype generation for nearest neighbor classification I Triguero, J Derrac, S Garcia, F Herrera. 2012
SMOTE-RSB*: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory E Ramentol, Y Caballero, R Bello, F Herrera. 2012
Study on the Impact of Partition-Induced Dataset Shift on -Fold Cross-Validation JG Moreno-Torres, JA Sáez, F Herrera. 2012
Grouping, Overlap and Generalized Bi-Entropic Functions for Fuzzy Modeling of Pairwise Comparisons H Bustince Sola, M Pagola, R Mesiar, E Hullermeier, F Herrera. 2012
Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection J Derrac, C Cornelis, S García, F Herrera. 2012
Integrating a differential evolution feature weighting scheme into prototype generation I Triguero, JN Derrac, S GarcíA, F Herrera. 2012
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. J Derrac, I Triguero, S García, F Herrera. 2012
A co-evolutionary framework for nearest neighbor enhancement: Combining instance and feature weighting with instance selection J Derrac, I Triguero, S García, F Herrera. 2012
Analysis of new niching genetic algorithms for finding multiple solutions in the job shop scheduling E Pérez, M Posada, F Herrera. 2012
Efecto de la agregación de universidades españolas en el Ranking de Shanghai (ARWU): caso de las comunidades autónomas y los campus de excelencia D Docampo, T Luque-Martínez, D Torres-Salinas, F Herrera. 2012
SMOTE-FRST: a new resampling method using fuzzy rough set theory E Ramentol, N Verbiest, R Bello, Y Caballero, C Cornelis, F Herrera. 2012
Improving SMOTE with fuzzy rough prototype selection to detect noise in imbalanced classification data N Verbiest, E Ramentol, C Cornelis, F Herrera. 2012
Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study JA García, R Rodriguez-Sánchez, J Fdez-Valdivia, D Torres-Salinas, .... 2012
COST SENSITIVE AND PREPROCESSING FOR CLASSIFICATION WITH IMBALANCED DATA-SETS: SIMILAR BEHAVIOUR AND POTENTIAL HYBRIDIZATIONS V López, A Fernández, MJ del Jesus, F Herrera. 2012
E-mail: herreraðdecsai. ugr. es F Herrera, E Herrera-Viedma. 2012
Aggregate ranking of Spain's universities in the Shanghai Ranking (ARWU): Effect on autonomous communities and campuses of international excellence D Docampo, F Herrera, T Luque-Martínez, D Torres-Salinas. 2012
Selección de prototipos basada en conjuntos rugosos difusos N Verbiest, C Cornelis, F Herrera. 2012
Algoritmos Basados en Nubes de Partıculas y Evolución Diferencial para el Problema de Optimización Continua: Un estudio experimental PD Gutiérrez, I Triguero, F Herrera. 2012
Linguistic Information: Issues and Analysis F Herrera, E Herrera-Viedma, L Martínez. 2012
Ranking of Research Output of Spanish Universities on the Basis of the Multidimensional Prestige of Influential Fields of Study JA García, R Rodríguez-Sánchez, J Fdez-Valdivia, D Torres-Salinas, .... 2012
Special issue on" New Trends in Data Mining" NTDM JM Benítez, N García-Pedrajas, F Herrera. 2012
Rankings de universidades: llegaron para quedarse F Herrera Triguero, D Torres-Salinas, E Delgado López-Cózar. 2012
An overview on subgroup discovery: foundations and applications F Herrera, CJ Carmona, P González, MJ Del Jesus. 2011
Evolutionary selection of hyperrectangles in nested generalized exemplar learning S García, J Derrac, J Luengo, CJ Carmona, F Herrera. 2011
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD CJ Carmona, P González, MJ del Jesus, F Herrera. 2011
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures MJ Gacto, R Alcalá, F Herrera. 2011
Evolutionary multi-objective algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and air conditioning … MJ Gacto, R Alcalá, F Herrera. 2011
A double axis classification of interpretability measures for linguistic fuzzy rule-based systems MJ Gacto, R Alcalá, F Herrera. 2011
Prototype selection for nearest neighbor classification: Taxonomy and empirical study S Garcia, J Derrac, JR Cano, F Herrera. 2011
On the usefulness of fuzzy rule based systems based on hierarchical linguistic fuzzy partitions A Fernández, V López, MJ Del Jesus, F Herrera. 2011
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling J Luengo, A Fernández, S García, F Herrera. 2011
Fuzzy rule based classification systems versus crisp robust learners trained in presence of class noise's effects: a case of study JA Sáez, J Luengo, F Herrera. 2011
Imputation of Missing Values J Luengo, S Garcıa, F Herrera. 2011
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcala-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, .... 2011
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning J Alcala-Fdez, R Alcala, F Herrera. 2011
A multi-objective evolutionary algorithm for mining quantitative association rules D Martín, A Rosete, J Alcalá-Fdez, F Herrera. 2011
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, F Herrera. 2011
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions R Alcalá, Y Nojima, F Herrera, H Ishibuchi. 2011
Musical genre classification by means of fuzzy rule-based systems: A preliminary approach F Fernández, F Chávez, R Alcalá, F Herrera. 2011
Special issue on evolutionary fuzzy systems Y Nojima, R Alcalá, H Ishibuchi, F Herrera. 2011
A Multicriteria Linguistic Decision Making Model Dealing with Comparative Terms RM Rodríguez, L Martínez, F Herrera. 2011
Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba … N García-Pedrajas, F Herrera, C Fyfe, JMB Sánchez, M Ali. 2011
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera. 2011
A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position J Sanz, A Fernández, H Bustince, F Herrera. 2011
A case study on medical diagnosis of cardiovascular diseases using a genetic algorithm for tuning fuzzy rule-based classification systems with interval-valued fuzzy sets J Sanz, M Pagola, H Bustince, A Brugos, A Fernández, F Herrera. 2011
Construction of interval-valued fuzzy preference relations using ignorance functions: Interval-valued non dominance criterion E Barrenechea, A Fernández, F Herrera, H Bustince. 2011
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets P Villar, A Fernández, F Herrera. 2011
On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees JA Sanz, H Bustince, A Fernández, F Herrera. 2011
Science mapping software tools: Review, analysis, and cooperative study among tools MJ Cobo, AG López‐Herrera, E Herrera‐Viedma, F Herrera. 2011
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains D Molina, M Lozano, AM Sánchez, F Herrera. 2011
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms J Derrac, S García, D Molina, F Herrera. 2011
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems M Lozano, D Molina, F Herrera. 2011
A fast and scalable multi-objective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems R Alcalá, M Gacto, F Herrera. 2011
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification I Triguero, S García, F Herrera. 2011
A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ 2 A index D Torres-Salinas, JG Moreno-Torres, E Delgado-López-Cózar, F Herrera. 2011
Rankings ISI de las universidades españolas según campos científicos: descripción y resultados D Torres-Salinas, E Delgado-López-Cózar, J García-Moreno, F Herrera. 2011
Hesitant fuzzy linguistic term sets RM Rodríguez, L Martínez, F Herrera. 2011
A study of the scaling up capabilities of stratified prototype generation I Triguero, J Derrac, F Herrera, S García. 2011
Enhancing IPADE algorithm with a different individual codification I Triguero, S García, F Herrera. 2011
A preliminary study on the use of fuzzy rough set based feature selection for improving evolutionary instance selection algorithms J Derrac, C Cornelis, S García, F Herrera. 2011
Rankings ISI de las universidades españolas según campos y disciplinas científicas (2011) D Torres-Salinas, J García-Moreno-Torres, N Robinson-García, .... 2011
ISI rankings of universities in Spain by scientific field D Torres-Salinas, E Delgado-Lopez-Cozar, J Garcia-Moreno-Torres, .... 2011
Special issue on the trends in applied intelligence systems N García-Pedrajas, F Herrera, C Fyfe. 2011
Granularity based Instance Selection N Verbiest, C Cornelis, F Herrera. 2011
Prototype Generation for Nearest Neighbor Classification: Survey of Methods I Triguero, J Derrac, S Garcıa, F Herrera. 2011
On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems F Herrera. 2011
Estudio cuantitativo de la inducción electromagnética entre dos bobinas en función del número de espiras de una de ellas. JMV Montoya, FJM Herrera, AN López, EA Garde, AB Vázquez. 2011
NMEEF-SD: non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery CJ Carmona, P González, MJ del Jesus, F Herrera. 2010
A preliminary study on the selection of generalized instances for imbalanced classification S García, J Derrac, I Triguero, C Carmona, F Herrera. 2010
Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems MJ Gacto, R Alcalá, F Herrera. 2010
Analysis of the performance of a semantic interpretability-based tuning and rule selection of fuzzy rule-based systems by means of a multi-objective evolutionary algorithm MJ Gacto, R Alcalá, F Herrera. 2010
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems FJ Berlanga, AJ Rivera, MJ del Jesús, F Herrera. 2010
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets A Fernández, MJ del Jesus, F Herrera. 2010
Multi-class imbalanced data-sets with linguistic fuzzy rule based classification systems based on pairwise learning A Fernández, MJ Del Jesus, F Herrera. 2010
Analysing the hierarchical fuzzy rule based classification systems with genetic rule selection A Fernández, MJ del Jesús, F Herrera. 2010
Prototype selection for nearest neighbor classification: Survey of methods S Garcıa, J Derrac, JR Cano, F Herrera. 2010
A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency S García, JR Cano, F Herrera. 2010
Introduction to the experimental design in the data mining tool KEEL J Alcalá-Fdez, F Herrera, S García, MJ del Jesus, L Sánchez, .... 2010
Computing with words in decision support systems: an overview on models and applications L Martınez, D Ruan, F Herrera. 2010
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power S García, A Fernández, J Luengo, F Herrera. 2010
Genetics-based machine learning for rule induction: state of the art, taxonomy, and comparative study A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera. 2010
A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs … J Luengo, S García, F Herrera. 2010
Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method J Luengo, F Herrera. 2010
A first study on the noise impact in classes for fuzzy rule based classification systems JA Sáez, J Luengo, F Herrera. 2010
An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML J Luengo, F Herrera. 2010
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules J Alcala-Fdez, N Flugy-Pape, A Bonarini, F Herrera. 2010
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems F Chávez, F Fernández, J Alcalá-Fdez, R Alcalá, F Herrera, G Olague. 2010
A fuzzy associative classification system with genetic rule selection for high-dimensional problems J Alcalá-Fdéz, R Alcalá, F Herrera. 2010
A web based consensus support system for group decision making problems and incomplete preferences S Alonso, E Herrera-Viedma, F Chiclana, F Herrera. 2010
q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core FJ Cabrerizo, S Alonso, E Herrera-Viedma, F Herrera. 2010
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems I Robles, R Alcalá, J Benítez, F Herrera. 2010
WoS query partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source‐based partitioning approaches S Alonso, FJ Cabrerizo, E Herrera‐Viedma, F Herrera. 2010
Trends in applied intelligent system N Garcaia-Pedrajas. 2010
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning JA Sanz, A Fernández, H Bustince, F Herrera. 2010
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations A Fernández, M Calderón, E Barrenechea, H Bustince, F Herrera. 2010
A genetic algorithm for tuning fuzzy rule-based classification systems with interval-valued fuzzy sets J Sanz, A Fernández, H Bustince, F Herrera. 2010
A genetic algorithm for feature selection and granularity learning in fuzzy rule-based classification systems for highly imbalanced data-sets P Villar, A Fernández, F Herrera. 2010
A first approach for cost-sensitive classification with linguistic genetic fuzzy systems in imbalanced data-sets V López, A Fernández, F Herrera. 2010
USING SIMILARITY MEASURES IN FUZZY RULE-BASED CLASSIFICATION SYSTEMS WITH INTERVAL-VALUED FUZZY SETS J Sanz, D Jurío, A Fernández, F Herrera, H Bustince. 2010
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field MJ Cobo, AG López-Herrera, E Herrera-Viedma, F Herrera. 2010
A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach AG López-Herrera, MJ Cobo, E Herrera-Viedma, F Herrera. 2010
Memetic algorithms for continuous optimisation based on local search chains D Molina, M Lozano, C García-Martínez, F Herrera. 2010
Visualization and Evolution of the Scientific Structure of Fuzzy Sets Based Research in Spain AG Lopez-Herrera, MJ Cobo, E Herrera-Viedma, F Herrera, .... 2010
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization D Molina, M Lozano, F Herrera. 2010
hg-index: A new index to characterize the scientific output of researchers based on the h-and g-indices S Alonso, FJ Cabrerizo, E Herrera-Viedma, F Herrera. 2010
A survey on evolutionary instance selection and generation J Derrac, S García, F Herrera. 2010
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule J Derrac, S García, F Herrera. 2010
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP A Puris, R Bello, F Herrera. 2010
IPADE: Iterative prototype adjustment for nearest neighbor classification I Triguero, S García, F Herrera. 2010
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability J Derrac, S García, F Herrera. 2010
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification I Triguero, S García, F Herrera. 2010
IFS-CoCo in the landscape contest: description and results J Derrac, S García, F Herrera. 2010
A preliminary study on overlapping and data fracture in imbalanced domains by means of genetic programming-based feature extraction JG Moreno-Torres, F Herrera. 2010
Genetics-based machine learning for rule induction: Taxonomy, experimental study and state of the art A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera. 2010
GUEST EDITORS'INTRODUCTION: SPECIAL ISSUE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA'2009) F Herrera, F Marcelloni, V Loia. 2010
Special Issue on Decision Support Systems based on Computing with Words: Applications F Herrera, L Martínez. 2010
Genetic fuzzy systems for subgroup discovery. Models and applications F Herrera. 2010
Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasificación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML J Luengo, F Herrera. 2010
Obtención de los dominios de competencia de C4. 5 por medio de medidas de separabilidad de clases J Luengo, F Herrera. 2010
Non-dominated multi-objective evolutionary algorithm based on fuzzy rules extraction for subgroup discovery CJ Carmona, P González, MJ del Jesús, F Herrera. 2009
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery CJ Carmona, P González, MJ del Jesus, F Herrera. 2009
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms J Alcalá-Fdez, R Alcalá, MJ Gacto, F Herrera. 2009
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems MJ Gacto, R Alcalá, F Herrera. 2009
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2009
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. MJ Gacto, R Alcalá, F Herrera. 2009
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm MJ Gacto, R Alcalá, F Herrera. 2009
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. 2009
KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, .... 2009
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets A Fernández, MJ del Jesus, F Herrera. 2009
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets A Fernández, MJ del Jesus, F Herrera. 2009
Improving the performance of fuzzy rule based classification systems for highly imbalanced data-sets using an evolutionary adaptive inference system A Fernández, MJ del Jesus, F Herrera. 2009
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. A Fernández, FJ Berlanga, MJ del Jesús, F Herrera. 2009
A fuzzy model to evaluate the suitability of installing an enterprise resource planning system PJ Sánchez, L Martı, C Garcı, F Herrera, E Herrera-Viedma. 2009
A fuzzy model to evaluate the suitability of installing an ERP system PJ Sįnchez, L Martınez, C Garcıa, F Herrera, E Herrera-Viedma. 2009
Linguistic decision making: Tools and applications L Martínez, D Ruan, F Herrera, E Herrera-Viedma, PP Wang. 2009
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability S García, A Fernández, J Luengo, F Herrera. 2009
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests J Luengo, S García, F Herrera. 2009
A first approach to nearest hyperrectangle selection by evolutionary algorithms S García, J Derrac, J Luengo, F Herrera. 2009
Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for c4. 5 J Luengo, A Fernández, S García, F Herrera. 2009
Implementation and integration of algorithms into the KEEL data-mining software tool A Fernández, J Luengo, J Derrac, J Alcalá-Fdez, F Herrera. 2009
On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System. J Luengo, F Herrera. 2009
Domains of competence of artificial neural networks using measures of separability of classes J Luengo, F Herrera. 2009
Evolutionary extraction of association rules: A preliminary study on their effectiveness NF Papè, J Alcalá-Fdez, A Bonarini, F Herrera. 2009
A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems R Alcalá, P Ducange, F Herrera, B Lazzerini, F Marcelloni. 2009
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems I Robles, R Alcalá, JM Benítez, F Herrera. 2009
Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection R Alcalá, Y Nojima, F Herrera, H Ishibuchi. 2009
h-Index: A review focused in its variants, computation and standardization for different scientific fields S Alonso, FJ Cabrerizo, E Herrera-Viedma, F Herrera. 2009
Computing with words in decision making: foundations, trends and prospects F Herrera, S Alonso, F Chiclana, E Herrera-Viedma. 2009
Group decision making with incomplete fuzzy linguistic preference relations S Alonso, FJ Cabrerizo, F Chiclana, F Herrera, E Herrera‐Viedma. 2009
Individual and social strategies to deal with ignorance situations in multi-person decision making S Alonso, E Herrera-Viedma, F Chiclana, F Herrera. 2009
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. I Robles, R Alcalá, JM Benítez, F Herrera. 2009
Computing with words and decision making F Herrera, E Herrera-Viedma, S Alonso, F Chiclana. 2009
Agregación de índices bibliométricos para evaluar la producción científica de los investigadores F Herrera, E Herrera-Viedma, S Alonso, FJ Cabrerizo. 2009
Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems J Casillas, P Martínez, AD Benítez. 2009
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems S García, A Fernández, F Herrera. 2009
Enhancing fuzzy rule based systems in multi-classification using pairwise coupling with preference relations A Fernández, M Calderón, E Barrenechea, H Bustince, F Herrera. 2009
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets P Villar, A Fernández, F Herrera. 2009
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets J Sanz, A Fernández, H Bustince, F Herrera. 2009
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization S García, D Molina, M Lozano, F Herrera. 2009
Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean queries in fuzzy ordinal linguistic information retrieval systems AG López-Herrera, E Herrera-Viedma, F Herrera. 2009
A study of the use of multi‐objective evolutionary algorithms to learn Boolean queries: A comparative study AG López‐Herrera, E Herrera‐Viedma, F Herrera. 2009
Hybrid crossover operators with multiple descendents for real‐coded genetic algorithms: Combining neighborhood‐based crossover operators AM Sánchez, M Lozano, P Villar, F Herrera. 2009
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions D Molina, M Lozano, F Herrera. 2009
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions D Molina, M Lozano, F Herrera. 2009
Study of the influence of the local search method in memetic algorithms for large scale continuous optimization problems D Molina, M Lozano, F Herrera. 2009
A survey on the application of genetic programming to classification PG Espejo, S Ventura, F Herrera. 2009
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera. 2009
A first study on the use of coevolutionary algorithms for instance and feature selection J Derrac, S García, F Herrera. 2009
Memetic algorithm with local search chaining for continuous optimization problems: A scalability test D Molina, M Lozano, F Herrera. 2009
Visualization and evolution of the scientific structure of fuzzy sets research in Spain AG López-Herrera, MJ Cobos, EH Viedma, F Herrera, RB Moreno, .... 2009
Diagnose of effective evolutionary prototype selection using an overlapping measure S García, JR Cano, E Bernadó-Mansilla, F Herrera. 2009
Estudio del desempeño de la optimización basada en mallas variables en problemas con óptimos en las fronteras del espacio búqueda R Navarro, A Puris, R Bello, F Herrera. 2009
Foundations of Computational Intelligence Volume 2: Approximate Reasoning AE Hassanien, A Abraham, F Herrera. 2009
Algoritmos genéticos multimodales: un estudio sobre la parametrización del método clearing aplicado al problema “Job Shop” ME Pérez, F Herrera. 2009
ACOR hıbrido con múltiples colonias para problemas de optimización continua C Blum, P Cardoso, F Herrera. 2009
Un algoritmo genético para selección de caracterí¿ sticas en sistemas de clasificación basados en reglas difusas para conjuntos de datos altamente no balanceados P Villar, A Fernández, A Sánchez, F Herrera. 2009
Data mining and hybrid intelligent systems F Xhafa, F Herrera, M Köppen. 2009
On the usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2008
Subgroup Discovery with Linguistic Rules MJ Del Jesus, P González, F Herrera. 2008
Special issue on fuzzy approaches in preference modelling, decision making and applications F Chiclana, E Herrera-Viedma, S Alonso, F Herrera, J Yañez, J Montero, .... 2008
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets A Fernández, S García, MJ del Jesus, F Herrera. 2008
A memetic algorithm for evolutionary prototype selection: A scaling up approach S García, JR Cano, F Herrera. 2008
Replacement strategies to preserve useful diversity in steady-state genetic algorithms M Lozano, F Herrera, JR Cano. 2008
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes JR Cano, S García, F Herrera. 2008
KEEL: A data mining software tool integrating genetic fuzzy systems J Alcalá-Fdez, S García, FJ Berlanga, A Fernández, L Sánchez, .... 2008
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection JR Cano, F Herrera, M Lozano, S García. 2008
A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems FJ Berlanga, MJ del Jesus, F Herrera. 2008
A short study on the use of genetic 2-tuples tuning for fuzzy rule based classification systems in imbalanced data-sets A Fernández, MJ del Jesus, F Herrera. 2008
Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos AF Hilario, MJ del Jesus, F Herrera. 2008
A consistency‐based procedure to estimate missing pairwise preference values S Alonso, F Chiclana, F Herrera, E Herrera‐Viedma, J Alcalá‐Fdez, .... 2008
A fuzzy linguistic methodology to deal with unbalanced linguistic term sets F Herrera, E Herrera-Viedma, L Martínez. 2008
Cardinal consistency of reciprocal preference relations: a characterization of multiplicative transitivity F Chiclana, E Herrera-Viedma, S Alonso, F Herrera. 2008
Knowledge base learning of linguistic fuzzy rule-based systems in a multi-objective evolutionary framework P Ducange, R Alcalá, F Herrera, B Lazzerini, F Marcelloni. 2008
A note on the estimation of missing pairwise preference values: a uninorm consistency based method F Chiclana, E Herrera-Viedma, S Alonso, F Herrera. 2008
Construction of consistent fuzzy preference relations using uninorms F Chiclana, S Alonso, E Herrera-Viedma, F Herrera. 2008
Guest editors' introduction: special issue on fuzzy approaches in preference modelling, decision making and applications F Chiclana, E Herrera-Viedma, S Alonso, F Herrera. 2008
Eighth International Conference on Hybrid Intelligent Systems F Xhafa, F Herrera, A Abraham, M Köppen, JM Bénitez. 2008
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database RC Romero-Zaliz, C Rubio-Escudero, JP Cobb, F Herrera, O Cordón, .... 2008
A multiobjective evolutionary algorithm for spam e-mail filtering AG López-Herrera, E Herrera-Viedma, F Herrera. 2008
Global and local real-coded genetic algorithms based on parent-centric crossover operators C García-Martínez, M Lozano, F Herrera, D Molina, AM Sánchez. 2008
Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques AG López-Herrera, MJ Cobo, E Herrera-Viedma, F Herrera. 2008
Memetic algorithm for intense local search methods using local search chains D Molina, M Lozano, C García-Martínez, F Herrera. 2008
An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons S Garcıa, F Herrera. 2008
Genetic fuzzy systems: taxonomy, current research trends and prospects F Herrera. 2008
An interactive decision support system based on consistency criteria S Alonso, FJ Cabrerizo, F Chiclana, F Herrera, E Herrera-Viedma. 2008
Evolutionary training set selection to optimize c4. 5 in imbalanced problems S García, F Herrera. 2008
Design of experiments in computational intelligence: on the use of statistical inference S García, F Herrera. 2008
Improvement to the cooperative rules methodology by using the ant colony system algorithm R Alcalá, J Casillas, O Cordón, F Herrera. 2008
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models-Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision HB Sola, F Herrera, J Montero. 2008
A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez. 2007
Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
Genetic learning of membership functions for mining fuzzy association rules R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2007
Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing MJ Del Jesus, P González, F Herrera, M Mesonero. 2007
Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules MJ del Jesus, P González, F Herrera. 2007
Preface: Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off J Casillas, F Herrera, R Pérez, MJ del Jesus, P Villar. 2007
Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems JJ Aguilera, M Chica, MJ del Jesus, F Herrera. 2007
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability JR Cano, F Herrera, M Lozano. 2007
An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets A Fernández, S García, F Herrera, MJ del Jesús. 2007
Un algoritmo memético para selección de prototipos: Una propuesta eficiente para problemas de tamano medio S Garcıa, JR Cano, F Herrera. 2007
Fuzzy Machine Learning-An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced … A Fernandez, S Garcia, F Herrera, MJ Jesus. 2007
A study on the use of statistical tests for experimentation with neural networks J Luengo, S García, F Herrera. 2007
A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection R Alcalá, J Alcalá-Fdez, F Herrera. 2007
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. 2007
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems R Alcalá, J Alcalá‐Fdez, J Casillas, O Cordón, F Herrera. 2007
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems J Alcalá‐Fdez, F Herrera, F Márquez, A Peregrín. 2007
A consensus model for group decision making with incomplete fuzzy preference relations F Chiclana, S Alonso, F Herrera, E Herrera-Viedma. 2007
Group decision-making model with incomplete fuzzy preference relations based on additive consistency E Herrera-Viedma, F Chiclana, F Herrera, S Alonso. 2007
Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations F Chiclana, E Herrera-Viedma, F Herrera, S Alonso. 2007
Statistical comparisons by means of non-parametric tests: a case study on genetic based machine learning S García, AD Benítez, F Herrera, A Fernández. 2007
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP C García-Martínez, O Cordón, F Herrera. 2007
Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial … S García, D Molina, M Lozano, F Herrera. 2007
Algoritmo Memético con Intensidad de Búsqueda Local Adaptativa D Molina, F Herrera, M Lozano. 2007
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision H Bustince, F Herrera, J Montero. 2007
Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy systems FA Márquez, A Peregrín, F Herrera. 2007
Algoritmos Genéticos con Codificación Real: Operadores de Cruce Híbridos Basados en Entornos con Múltiples Descendientes F Herrera, M Lozano, AM Sánchez. 2007
Fuzzy Systems-A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets A Fernandez, S Garcia, MJ Jesus, F Herrera. 2007
A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems FJ Berlanga, MJ del Jesús, MJ Gacto, F Herrera. 2006
Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems R Alcalá, J Alcala-Fdez, FJ Berlanga, MJ Gacto, F Herrera. 2006
Multiobjective evolutionary induction of subgroup discovery fuzzy rules: a case study in marketing F Berlanga, MJ Del Jesus, P González, F Herrera, M Mesonero. 2006
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining JR Cano, F Herrera, M Lozano. 2006
A proposal of evolutionary prototype selection for class imbalance problems S García, JR Cano, A Fernández, F Herrera. 2006
Técnicas de reducción de datos en KDD. El uso de Algoritmos Evolutivos para la Selección de Instancias F Herrera, JR Cano. 2006
A First Study on the Use of Fuzzy Rule Based Classification Systems for Problems with Imbalanced Data Sets MJ del Jesus, A Fernández, S Garcıa, F Herrera. 2006
Incorporating knowledge in evolutionary prototype selection S García, JR Cano, F Herrera. 2006
UN PRIMER ESTUDIO SOBRE EL USO DE LOS SISTEMAS DE CLASIFICACIÓN BASADOS EN REGLAS DIFUSAS EN PROBLEMAS DE CLASIFICACIÓN CON CLASES NO BALANCEADAS AF Hilario, S García, F Herrera, MJ del Jesus. 2006
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera. 2006
Guest editorial: Recent advancements of fuzzy sets: Theory and practice F Herrera, E Herrera-Viedma, L Martínez, PP Wang. 2006
A multi-granular linguistic hierarchical model to evaluate the quality of web site services F Herrera, E Herrera-Viedma, L Martínez, LG Pérez, AG López-Herrera, .... 2006
Continuous scatter search: an analysis of the integration of some combination methods and improvement strategies F Herrera, M Lozano, D Molina. 2006
Hybrid learning models to get the interpretabilityÔÇôaccuracy trade-off in fuzzy modeling R Alcal├ í, J Alcal├ í-Fdez, J Casillas, O Cord├│ n, F Herrera. 2006
New trends in fuzzy modeling. part II: applications AM Alimi, F Herrera. 2006
New trends in the fuzzy modeling part I: novel approaches AM Alimi, F Herrera. 2006
Genetic lateral and amplitude tuning of membership functions for fuzzy systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. 2005
Multiobjective evolutionary induction of subgroup discovery rules in a market problem F Berlanga, MJ del Jesus, P González, F Herrera. 2005
Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing MJ del Jesus, P González, F Herrera. 2005
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction J Casillas, O Cordón, MJ Del Jesus, F Herrera. 2005
Stratification for scaling up evolutionary prototype selection JR Cano, F Herrera, M Lozano. 2005
Replacement strategies to maintain useful diversity in steady-state genetic algorithms M Lozano, F Herrera, JR Cano. 2005
A study on the combination of evolutionary algorithms and stratified strategies for training set selection in data mining JR Cano, F Herrera, M Lozano. 2005
Strategies for scaling up evolutionary instance reduction algorithms for data mining JR Cano, F Herrera, M Lozano. 2005
Instance selection using evolutionary algorithms: an experimental study JR Cano, F Herrera, M Lozano. 2005
Genetic tuning of fuzzy rule deep structures for linguistic modeling J Casillas, O Cordon, MJ Del Jesus, F Herrera. 2005
Learning fuzzy rules using Genetic Programming: Context-free grammar definition for high-dimensionality problems FJ Berlanga, MJ Del Jesus, F Herrera. 2005
Learning compact fuzzy rule-based classification systems with genetic programming. FJ Berlanga, MJ del Jesus, F Herrera. 2005
Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad FJ Berlanga, MJ del Jesus, F Herrera. 2005
Managing non-homogeneous information in group decision making F Herrera, L Martınez, PJ Sánchez. 2005
A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis L Martínez, J Liu, JB Yang, F Herrera. 2005
Genetic learning of the knowledge base of a fuzzy system by using the linguistic 2-tuples representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. 2005
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems R Alcalá, J Casillas, O Cordón, A González, F Herrera. 2005
A new genetic fuzzy system based on linguistic 2-tuples to learn knowledge bases R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. 2005
Integrating evolutionary computation components in ant colony optimization S Alonso, O Cordón, IF de Viana, F Herrera. 2005
Learning cooperative linguistic fuzzy rules using the best–worst ant system algorithm J Casillas, O Cordón, I Fernández de Viana, F Herrera. 2005
Hybrid crossover operators for real-coded genetic algorithms: an experimental study F Herrera, M Lozano, AM Sánchez. 2005
Adaptive local search parameters for real-coded memetic algorithms D Molina, F Herrera, M Lozano. 2005
Genetic fuzzy systems: Status, critical considerations and future directions F Herrera. 2005
Extracción de modelos predictivos e interpretables en conjuntos de datos de tamaño grande mediante la selección de conjuntos de entrenamiento JR Cano, F Herrera, M Lozano. 2005
Evolutionary inducción of descriptive fuzzy rules in a market problem MJ Del Jesus, P González, F Herrera, M Mesonero. 2005
Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos J Alcalá-Fdez, MJ del Jesus, JM Garrell, F Herrera, C Herbás, L Sánchez. 2004
Evolutionary stratified instance selection applied to training set selection for extracting high precise-interpretable classification rules JR Cano, F Herrera, M Lozano. 2004
A multi-granular linguistic decision model for evaluating the quality of network services F Herrera, E Herrera-Viedma, L Martínez, F Mata, PJ Sánchez. 2004
Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web F Herrera, E Herrera-Viedma, L Martínez, JC Herrera, AG López Herrera. 2004
Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation R Alcala, F Herrera. 2004
Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations F Chiclana, E Herrera‐Viedma, F Herrera, S Alonso. 2004
A learning procedure to estimate missing values in fuzzy preference relations based on additive consistency S Alonso, F Chiclana, F Herrera, E Herrera-Viedma. 2004
A Group Decision Making Model with Incomplete Fuzzy Preference Relations Based on Additive Consistency S Alonso, F Chiclana, F Herrera, E Herrera-Viedma. 2004
Additive consistency as a tool to solve group decision making problems F Chiclana, S Alonso, F Herrera, E Herrera-Viedma. 2004
Accuracy improvements in linguistic fuzzy modeling F Herrera, O Cordon, L Magdalena, J Casillas. 2004
A hybrid learning process for the knowledge base of a fuzzy rule-based system J Casillas, O Cordón, F Herrera, P Villar. 2004
Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas J Casillas, O Cordón, F Herrera, P Villar. 2004
Ten years of genetic fuzzy systems: current framework and new trends O Cordón, F Herrera, F Gomide, F Hoffmann, L Magdalena. 2004
An empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP C García-Martínez, O Cordón, F Herrera. 2004
A study on the evolutionary adaptive defuzzification methods in fuzzy modeling O Cordón, F Herrera, FA Márquez, A Peregrín. 2004
Real-coded memetic algorithms with crossover hill-climbing M Lozano, F Herrera, N Krasnogor, D Molina. 2004
Special issue on genetic fuzzy systems O Cordón, FAC Gomide, F Herrera, F Hoffmann, L Magdalena. 2004
Genetic fuzzy systems. New developments O Cordón, F Gomide, F Herrera, F Hoffmann, L Magdalena. 2004
Some issues on consistency of fuzzy preference relations E Herrera-Viedma, F Herrera, F Chiclana, M Luque. 2004
Un estudio empırico preliminar sobre los tests estadısticos más habituales en el aprendizaje automático F Herrera, C Hervás, J Otero, L Sánchez. 2004
Rationality of induced ordered weighted operators based on the reliability of the source of information in group decision–making F Chiclana, F Herrera, E Herrera-Viedma. 2004
Sistemas difusos evolutivos F Herrera. 2004
Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas J Alcalá, R Alcalá, O Cordón, F Herrera. 2004
Genetic fuzzy systems: New developments O Cordón, F Herrera, F Gomide, F Hoffmann, L Magdalena. 2004
Linguistic modeling with hierarchical systems of weighted linguistic rules R Alcalá, JR Cano, O Cordón, F Herrera, P Villar, I Zwir. 2003
A multiobjective genetic learning process for joint feature selection and granularity and contexts learning in fuzzy rule-based classification systems O Cordón, MJ Del Jesus, F Herrera, L Magdalena, P Villar. 2003
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study JR Cano, F Herrera, M Lozano. 2003
Information gathering on the internet using a distributed intelligent agent model with multi-granular linguistic information F Herrera, E Herrera-Viedma, L Martınez, C Porcel. 2003
Evaluating the Suitability of an Enterprise Resource Planning System F Herrera, E Herrera-Viedma, L Martínez, PJ Sánchez. 2003
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators F Chiclana, F Herrera, E Herrera-Viedma, L Martınez. 2003
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning R Alcalá, J Casillas, O Cordón, F Herrera. 2003
Combining rule weight learning and rule selection to obtain simpler and more accurate linguistic fuzzy models R Alcalá, O Cordón, F Herrera. 2003
Preference modeling and applications: EUROFUSE 2001 B De Baets, M Delgado, J Fodor, F Herrera, E Herrera‐Viedma, .... 2003
Preference modelling and applications.-Selected papers from EUROFUSE 2001, Granada B De Baets, M Delgado, F Herrera, E Herrera-Viedma, J Fodor, L Martı́nez. 2003
Applying rule weight derivation to obtain cooperative rules R Alcalá, J Casillas, O Cordón, F Herrera. 2003
An iterative learning methodology to design hierarchical systems of linguistic rules for linguistic modeling R Alcala, O Cordon, F Herrera, I Zwir. 2003
Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems R Alcala, JM Benitez, J Castillas, JL Castro, O Cordon, A Gonzales, .... 2003
Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview J Casillas, O Cordon, F Herrera, L Magdalena. 2003
COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy J Casillas, O Cordón, F Herrera. 2003
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology O Cordón, F Herrera, I Zwir. 2003
A taxonomy for the crossover operator for real‐coded genetic algorithms: An experimental study F Herrera, M Lozano, AM Sánchez. 2003
Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions F Herrera, M Lozano. 2003
A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making F Herrera, E Herrera‐Viedma, F Chiclana. 2003
Interpretability issues in fuzzy modeling. Studies in Fuzziness and Soft Computing. LM J. Casillas, O. Cordon, F. Herrera. 2003
Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview J Casillas, O Cordon, F Herrera, L Magdalena. 2003
Finding multiple solutions in job shop scheduling by niching genetic algorithms E Pérez, F Herrera, C Hernández. 2003
Reciprocity and consistency of fuzzy preference relations F Chiclana, F Herrera, E Herrera-Viedma. 2003
A Methodology for Generating the Semantics of Unbalanced Linguistic Term Sets F Herrera, E Herrera-Viedma, L Martınez, PJ Sánchez. 2003
Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-0. Crossover Operator for Real-Coded Genetic Algorithms F Herrera, M Lozano, E Pérez, AM Sánchez, P Villar. 2003
Some induced ordered weighting averaging operators to solve decision problems based on fuzzy preference relations F Chiclana, E Herrera-Viedma, F Herrera. 2003
Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. F Herrera, FA Márquez, A Peregrín. 2003
A Linguistic Decision Process for Evaluating the Installation of an Enterprise Resource Planning System F Herrera, E Herrera-Viedma, L Martınez, PJ Sánchez. 2003
-Combining Heterogeneous Information in Group Decision Making F Herrera, E Herrera-Viedma, L Martínez, PJ Sánche. 2003
Special Issue on Preference Modeling and Applications B De Baets, M Delgado, F Herrera, E Herrera-Viedma, JC Fodor, .... 2003
Análisis de distintas vertientes para la paralelización de los algoritmos de Optimización basada en Colonias de Hormigas S Alonso, O Cordón, IF de Viana, F Herrera. 2003
Special Issue on Preference Modeling and Applications: EUROFUSE 2001 B De Baets, M Delgado, J Fodor, F Herrera, E Herrera-Viedma. 2003
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure JR Cano, O Cordón, F Herrera, L Sánchez. 2002
A GRASP algorithm for clustering JR Cano, O Cordón, F Herrera, L Sánchez. 2002
A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on internet M Delgado, F Herrera, E Herrera-Viedma, MJ Martín-Bautista, L Martinez, .... 2002
Improving simple linguistic fuzzy models by means of the weighted COR methodology R Alcalá, J Casillas, O Cordón, F Herrera. 2002
Hybridizing Hierarchical and Weighted Linguistic Rules R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir. 2002
Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. F Herrera, L Martínez-López. 2002
COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules J Casillas, O Cordón, F Herrera. 2002
Trade-off between accuracy and interpretability in fuzzy rule-based modelling J Casillas, O Cordon, F Herrera, L Magdalena. 2002
Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology J Casillas, O Cordón, F Herrera. 2002
Linguistic modeling by hierarchical systems of linguistic rules O Cordón, F Herrera, I Zwir. 2002
A review on the ant colony optimization metaheuristic: basis, models and new trends O Cordón, F Herrera, T Stützle. 2002
Analysis of the best-worst ant system and its variants on the TSP O Cordón García, I Fernández de Viana, F Herrera Triguero. 2002
Analysis of the best-worst ant system and its variants on the QAP O Cordón, IF de Viana, F Herrera. 2002
A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems O Cordón, F Herrera, J de la Montana, AM Sánchez, P Villar. 2002
Ant colony optimization: models and applications [Guest editorial] O Cordón García, F Herrera Triguero, T Stützle. 2002
Guest Editorial: Ant Colony Optimization: Models and Applications O Cordon, F Herrera, T Stützle. 2002
A consensus model for multiperson decision making with different preference structures E Herrera-Viedma, F Herrera, F Chiclana. 2002
A note on the internal consistency of various preference representations F Chiclana, F Herrera, E Herrera-Viedma. 2002
A linguistic decision model for promotion mix management solved with genetic algorithms F Herrera, E López, MA Rodriguez. 2002
Multiple crossover per couple with selection of the two best offspring: an experimental study with the BLX-α crossover operator for real-coded genetic algorithms F Herrera, M Lozano, E Pérez, AM Sánchez, P Villar. 2002
Operadores de Cruce con Múltiples Descendientes para Algoritmos Genéticos con Codificación Real: Estudio Experimental F Herrera, L Manuel, AM Sánchez. 2002
Techniques for Designing and RefiningLinguistic Fuzzy Models to Improve Their Accuracy F Herrera, O Cordon, R Alcalá, J Casillas. 2002
Ant colony optimization: models and applications O Cordón García, F Herrera, T Stützle. 2002
Insurance market risk modeling with hierarchical Fuzzy Rule Based Systems R Alcalá, O Cordón, F Herrera, I Zwir. 2002
Improvements to the COR Methodology by means of Weighted Fuzzy Rules R Alcalá, J Casillas, O Cordón, F Herrera. 2002
Hybridization of Components to Improve the Accuracy in Linguistic Fuzzy Modeling J Casillas, O Cordón, F Herrera. 2002
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems J Casillas, O Cordón, MJ Del Jesus, F Herrera. 2001
A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems O Cordón, F Herrera, MJ Del Jesus, P Villar. 2001
Feature selection algorithms applied to Parkinson’s disease M Navío, JJ Aguilera, MJ del Jesús, R González, F Herrera, C Iríbar. 2001
A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making F Herrera, L Martínez. 2001
The 2-tuple linguistic computational model: advantages of its linguistic description, accuracy and consistency F Herrera, L Martinez. 2001
A hierarchical ordinal model for managing unbalanced linguistic term sets based on the linguistic 2-tuple model F Herrera, E Herrera-Viedma, L Martınez. 2001
Building fuzzy graphs: features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems R Alcalá, J Casillas, O Cordón, F Herrera. 2001
La metaheurística de optimización basada en colonias de hormigas: modelos y nuevos enfoques S Alonso, O Cordón, I Fernández, F Herrera. 2001
Cooperative coevolution for learning fuzzy rule-based systems J Casillas, O Cordón, F Herrera, JJ Merelo. 2001
A multicriteria genetic tuning for fuzzy logic controllers R Alcalá Fernández, J Casillas Barranquero, JL Castro Peña, .... 2001
Genetic tuning of fuzzy rule-based systems integrating linguistic hedges J Casillas, O Cordón, F Herrera, MJ Del Jesus. 2001
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. J Casillas, O Cordón, F Herrera, JJ Merelo. 2001
Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases O Cordón, F Herrera, F Hoffmann, L Magdalena. 2001
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base O Cordón, F Herrera, P Villar. 2001
Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems O Cordón, F Herrera. 2001
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base O Cordón, F Herrera, L Magdalena, P Villar. 2001
Fuzzy modeling by hierarchically built fuzzy rule bases O Cordón, F Herrera, I Zwir. 2001
Recent advances in genetic fuzzy systems O Cordón, F Herrera, F Hoffmann, L Magdalena. 2001
Adaptive genetic operators based on coevolution with fuzzy behaviors F Herrera, M Lozano. 2001
Analyzing and extending hierarchical systems of linguistic rules O Cordon, F Herrera, I Zwir. 2001
Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations F Chiclana, F Herrera, E Herrera-Viedma. 2001
Multiperson decision-making based on multiplicative preference relations F Herrera, E Herrera-Viedma, F Chiclana. 2001
Combining linguistic information in a distributed intelligent agent model for information gathering on the Internet M Delgado, F Herrera, E Herrera-Viedma, MJ Martin-Bautista, MA Vila. 2001
A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm F Herrera, E López, C Mendaña, MA Rodrı́guez. 2001
Computing with Words F Herrera, E Herrera-Viedma. 2001
Nephrotic syndrome and anasarca status, secondary to treatment with tiopronin in a case of cystinuria]. NR Alvarez, AP Vidau, SC Rodríguez, PVJ Herrera, HM Suarez. 2001
Different proposals to improve the accuracy of fuzzy linguistic modeling SJIZ O. Cordón, M.J. Del Jesus, F. Herrera. 2000
A 2-tuple fuzzy linguistic representation model for computing with words F Herrera, L Martínez. 2000
A fusion approach for managing multi-granularity linguistic term sets in decision making F Herrera, E Herrera-Viedma, L Martı́nez. 2000
An approach for combining linguistic and numerical information based on the 2-tuple fuzzy linguistic representation model in decision-making F Herrera, L Martinez. 2000
Learning fuzzy rules using ant colony optimization algorithms J Casillas, O Cordón, F Herrera. 2000
Improving the Wang and Mendel’s fuzzy rule learning method by inducing cooperation among rules J Casillas, O Cordón, F Herrera. 2000
A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules J Casillas, O Cordón, F Herrera. 2000
Can linguistic modeling be as accurate as fuzzy modeling without losing its description to a high degree J Casillas, O Cordón, F Herrera. 2000
Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas J Casillas, O Cordón, F Herrera. 2000
A new ACO model integrating evolutionary computation concepts: The best-worst Ant System O Cordon, IF de Viana, F Herrera, L Moreno. 2000
A proposal for improving the accuracy of linguistic modeling O Cordón, F Herrera. 2000
Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing O Cordón, F Herrera, P Villar. 2000
Searching for basic properties obtaining robust implication operators in fuzzy control O Cordón, F Herrera, A Peregrın. 2000
Gradual distributed real-coded genetic algorithms F Herrera, M Lozano. 2000
Two-loop real-coded genetic algorithms with adaptive control of mutation step sizes F Herrera, M Lozano. 2000
Hierarchical knowledge bases for fuzzy rule-based systems O Cordón, F Herrera, I Zwir. 2000
Linguistic decision analysis: steps for solving decision problems under linguistic information F Herrera, E Herrera-Viedma. 2000
Choice functions and mechanisms for linguistic preference relations F Herrera, E Herrera-Viedma. 2000
The ordered weighted geometric operator: properties and application in MCDM Problems F Chiclana, F Herrera, E Herrera-Viedma. 2000
Adaptive control of the mutation probability by fuzzy logic controllers F Herrera, M Lozano. 2000
A proposal on reasoning methods in fuzzy rule-based classification systems O Cordón, MJ del Jesus, F Herrera. 1999
Approximate Mamdani-type fuzzy rule-based systems: Features and taxonomy of learning methods R Alcalá, J Casillas, O Cordón, F Herrera. 1999
A two-stage evolutionary process for designing TSK fuzzy rule-based systems O Cordón, F Herrera. 1999
Solving electrical distribution problems using hybrid evolutionary data analysis techniques O Cordón, F Herrera, L Sánchez. 1999
A practical study on the implementation of fuzzy logic controllers O Cordón, F Herrera, A Peregrín. 1999
Hierarchical distributed genetic algorithms F Herrera, M Lozano, C Moraga. 1999
Encouraging cooperation in the genetic iterative rule learning approach for qualitative modeling O Cordón, A Gonzalez, F Herrera, R Perez. 1999
Looking for the best defuzzification method features for each implication operator to design accurate fuzzy models O Cordón, F Herrera, A Peregrín. 1999
ALM: A methodology for designing Accurate Linguistic models for Intelligent Data Analysis O Cordón, F Herrera. 1999
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach O Cordón, MJ Del Jesus, F Herrera, M Lozano. 1999
Aggregation of linguistic information based on a symbolic approach M Delgado, F Herrera, E Herrera-Viedma, JL Verdegay, MA Vila. 1999
Techniques for learning and tuning fuzzy rule-based systems for linguistic modeling and their application R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir. 1999
Solving an assignment–selection problem with verbal information and using genetic algorithms F Herrera, E López, C Mendaña, MA Rodrı́guez. 1999
A linguistic decision model to suppliers selection in international purchasing F Herrera, E López, C Mendaña, MA Rodríguez. 1999
Solving an Assignment Problem under Linguistic Valuations with Genetic Algorithms F Herrera, E López, C Mendaña, MA Rodríguez. 1999
Characterisation of Implication Operators in Fuzzy Rule Based Systems from Basic Properties O Cordón, F Herrera, A Peregrín. 1999
ALM: A Methodology for Designing Accurate O Cordón, F Herrera. 1999
Genetic learning of fuzzy rule‐based classification systems cooperating with fuzzy reasoning methods O Cordón, M José del Jesus, F Herrera. 1998
Analyzing the reasoning mechanisms in fuzzy rule based classification systems O Cordón, MJ del Jesus, F Herrera. 1998
Reasoning Methods Based on OWA Operators under Fuzzy Mayority in Fuzzy Rule-Based Classification Systems O Cordón, MJ Del Jesus, F Herrera, F Herrera. 1998
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. O Cordón, MJ del Jesús, F Herrera, M Lozano. 1998
Combining numerical and linguistic information in group decision making M Delgado, F Herrera, E Herrera-Viedma, L Martinez. 1998
Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis F Herrera, M Lozano, JL Verdegay. 1998
A learning process for fuzzy control rules using genetic algorithms F Herrera, M Lozano, JL Verdegay. 1998
Computing the Spanish medium electrical line maintenance costs by means of evolution-based learning processes O Cordón, F Herrera, L Sánchez. 1998
Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations F Chiclana, F Herrera, E Herrera-Viedma. 1998
Choice processes for non-homogeneous group decision making in linguistic setting F Herrera, E Herrera-Viedma, JL Verdegay. 1998
Hybrid distributed real-coded genetic algorithms F Herrera, M Lozano, C Moraga. 1998
Introduction: Genetic fuzzy systems F Herrera, L Magdalena. 1998
Adaptive genetic algorithms based on coevolution with fuzzy behaviors F Herrera, M Lozano. 1998
Computación Evolutiva. E Alba, C Cotta, F Herrera. 1998
An evolutionary paradigm for designing fuzzy rule-based systems from examples O Cordon, MJ del Jesus, F Herrera, M Lozano. 1997
A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples O Cordón, F Herrera. 1997
Applicability of the fuzzy operators in the design of fuzzy logic controllers O Cordón, F Herrera, A Peregrín. 1997
On the combination of fuzzy logic and evolutionary computation: a short review and bibliography O Cordón, F Herrera, M Lozano. 1997
Fuzzy connectives based crossover operators to model genetic algorithms population diversity F Herrera, M Lozano, JL Verdegay. 1997
Identification of Linguistic Fuzzy Models by Means of Genetic Algorithms O Cordón, F Herrera. 1997
Evolutionary learning processes for data analysis in electrical engineering applications O Cordón, F Herrera, L Sánchez. 1997
Aggregation operators for linguistic weighted information F Herrera, E Herrera-Viedma. 1997
A rational consensus model in group decision making using linguistic assessments F Herrera, E Herrera-Viedma, JL Verdegay. 1997
Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making F Herrera, E Herrera-Viedma, JL Verdegay. 1997
Multi-stage genetic fuzzy systems based on the iterative rule learning approach A González Muñoz, F Herrera Triguero. 1997
A classified review on the combination fuzzy logic-genetic algorithms bibliography: 1989-1995 O Cord6n, F Herrera, M Lozano. 1997
A classified review on the combination fuzzy logic-genetic algorithms bibliography: 1989–1995 O Cordón, F Herrera, M Lozano. 1997
Genetic fuzzy systems: A tutorial F Herrera, L Magdalena. 1997
Consensus based on fuzzy coincidence for group decision making in linguistic setting F Herrera, E Herrera-Viedma, JL Verdegay. 1997
Fuzzy sets and operations research: perspectives F Herrera, JL Verdegay. 1997
Ten lectures on genetic fuzzy systems U Bodenhofer, F Herrera. 1997
Evolutionary design of TSK fuzzy rule-based systems using (μ, λ)-evolution strategies O Cordón, F Herrera. 1997
Heterogeneous distributed genetic algorithms based on the crossover operator F Herrera, M Lozano. 1997
Applications of the linguistic OWA operator in group decision making F Herrera, E Herrera-Viedma, JL Verdegay. 1997
Special issue on genetic fuzzy systems for control and robotics F Herrera. 1997
Gradual distributed genetic algorithms F Herrera, M Lozano, C Moraga. 1997
Genetic algorithms and fuzzy logic in control processes O Cordón, F Herrera, E Herrera-Viedma, M Lozano. 1996
A three-stage method for designing genetic fuzzy systems by learning from examples O Cordón, F Herrera, M Lozano. 1996
A hybrid genetic algorithm-evolution strategy process for learning fuzzy logic controller knowledge bases O Cordón, F Herrera. 1996
On the bidirectional integration of genetic algorithms and fuzzy logic O Cordón, F Herrera, M Lozano. 1996
Generating and selecting fuzzy control rules using evolution strategies and genetic algorithms O Cordón, F Herrera. 1996
A model of consensus in group decision making under linguistic assessments F Herrera, E Herrera-Viedma, JL Verdegay. 1996
Direct approach processes in group decision making using linguistic OWA operators F Herrera, E Herrera-Viedma, JL Verdegay. 1996
A linguistic decision process in group decision making F Herrera, E Herrera-Viedma, JL Verdegay. 1996
A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority F Chiclana, F Herrera, E Herrera-Viedma, MC Poyatos. 1996
Adaptation of genetic algorithm parameters based on fuzzy logic controllers F Herrera, M Lozano. 1996
Genetic algorithms and soft computing F Herrera, JL Verdegay. 1996
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms F Herrera, M Lozano, JL Verdegay. 1996
Adaptive genetic algorithms based on fuzzy techniques F Herrera, M Lozano. 1996
Heuristic crossovers for real-coded genetic algorithms based on fuzzy connectives F Herrera, M Lozano. 1996
Fuzzy boolean programming problems with fuzzy costs: A general study F Herrera, JL Verdegay. 1996
Making Decisions on Fuzzy Integer Linear Programming Problems F Herrera, JL Verdegay. 1996
A general study on genetic fuzzy systems O Cordón, F Herrera. 1995
Tuning fuzzy logic controllers by genetic algorithms F Herrera, M Lozano, JL Verdegay. 1995
T-norms vs. implication functions as implication operators in fuzzy control O Cordon, F Herrera, A Peregrin. 1995
Applicability of T-norms in Fuzzy Control E Cárdenas, JC Castillo, O Cordón, F Herrera, A Peregrin. 1995
A sequential selection process in group decision making with a linguistic assessment approach F Herrera, E Herrera-Viedma, JL Verdegay. 1995
Generating fuzzy rules from examples using genetic algorithms F Herrera, M Lozano, JL Verdegay. 1995
Aggregating linguistic preferences: properties of lowa operator F Herrera, E Herrera-Viedma, JL Verdegay. 1995
Three models of fuzzy integer linear programming F Herrera, JL Verdegay. 1995
Tackling fuzzy genetic algorithms F Herrera, M Lozano, JL Verdegay. 1995
Preference degrees over linguistic preference relations in decision making F Herrera, E Herrera-Viedma, JL Verdegay. 1995
Basis for a consensus model in group decision making with linguistic preferences F Herrera, E Herrera-Viedma, JL Verdegay. 1995
Design of a control rules base based on genetic algorithms F Herrera, M Lozano, JL Verdegay. 1995
Medidas Ling u sticas para el Consenso en Grupo F Herrera, E Herrera-Viedma, JL Verdegay. 1995
Algoritmos genéticos: Fundamentos, extensiones y aplicaciones F Herrera, M Lozano, JL Verdegay. 1995
Influence of fuzzy implication functions and defuzzification methods in fuzzy control E Cárdenas, JC Castillo, O Cordón, F Herrera, A Peregrín. 1994
Fuzzy tools to improve genetic algorithms F Herrera, E Herrera-Viedma, M Lozano, JL Verdegay. 1994
On dominance degrees in group decision making with linguistic preferences F Herrera, E Herrera-Viedma, JL Verdegay. 1994
Applying genetic algorithms in fuzzy optimization problems F Herrera, M Lozano, JL Verdegay. 1994
The use of fuzzy connectives to design real-coded genetic algorithms F Herrera Triguero, M Lozano, JL Verdegay. 1994
On group decision making under linguistic preferences and fuzzy linguistic quantifiers F Herrera, JL Verdegay. 1994
Algoritmos Gen eticos: Fundamentos, Extensiones y Aplicaciones F Herrera, M Lozano, JL Verdegay. 1994
Homogeneous linear fuzzy functions and ranking methods in fuzzy linear programming problems F Herrera, JL Verdegay, M Kovács. 1994
Knowledge‐based systems and fuzzy boolean programming JL Castro, F Herrera, JL Verdegay. 1994
Models and Methods in Fuzzy Discrete Programming F Herrera. 1994
The Use of Fuzzy Connectives to Design F Herrera, M Lozano, JL Verdegay. 1994
Linguistic assessments in group decision F Herrera, JL Verdegay. 1993
Post-optimality analysis on the membership functions of a fuzzy linear programming problem M Delgado, F Herrera, JL Verdegay, MA Vila. 1993
A learning method of fuzzy reasoning by genetic algorithms JL Castro, M Delgado, F Herrera. 1993
Boolean programming problems with fuzzy constraints F Herrera, JL Verdegay, HJ Zimmermann. 1993
Optimality for fuzzified mathematical programming problems: a parametric approach F Herrera, M Kovacs, JL Verdegay. 1993
Genetic algorithms applications to fuzzy logic based systems F Herrera, M Lozano, JL Verdegay. 1993
Solving linear boolean programming problems with imprecise costs JL Castro, F Herrera, JL Verdegay. 1992
An optimum concept for fuzzified linear programming problems: a parametric approach F Herrera, M Kovács, JL Verdegay. 1992
Algoritmos Genéticos con Función de Evaluación Difusa y Aplicaciones JL Castro, M Delgado, F Herrera, JL Verdegay. 1992
ESTUDIO DE UN SISTEMA INTERACTIVO DE AYUDA A LA DECISION EN PROBLEMAS DE OPTMZACION DIFUSA JM Cadenas, F Herrera. 1992
Approaching fuzzy integer linear programming problems F Herrera, JL Verdegay. 1991
Problemas y algoritmos de programación entera difusa F Herrera Triguero. 1991
On Incompatibility Relations as Models of Potential Conflicts in Knowledge Based Systems JL Castro, F Herrera. 1991
Estudio de problemas de Programación Difusa Biobjetivo y su aplicación al Cálculo Proposicional JL Castro, F Herrera, JL Verdegay. 1991
Algoritmos y programas:: problemas JL Castro Peña, F Herrera Triguero, JF Verdegay López. 1990

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