Rafael Alcalá Fernández

Category

PhD

Contact

alcala@decsai.ugMs9PLRIFV9r.es

Organization

UGR

Researcher Profile

Total From 2016:
Citas Total: 3972 From 2016: 1974
Índice H Total: 27 From 2016: 23
Índice i10 Total: 45 From 2016: 28

Papers (107)

Title Authors Year
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems MJ Gacto, JM Soto-Hidalgo, J Alcalá-Fdez, R Alcalá. 2019
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017) R Alcalá, MJ Gacto, J Alcalá‐Fdez. 2018
Analyzing gender disparities in STEAM: A Case Study from Bioinformatics Workshops in the University of Granada E Ruiz, C del Val, R Alcalá, A Fernández, C Cano, W Fajardo, .... 2018
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification J Alcala-Fdez, R Alcala, S Gonzalez, Y NOJIMA, S Garcia. 2017
Can Bioinformatics close the gender gap in STEM skills?: Reflections from the I Bioinformatics UGR Workshop C del Val, E Ruiz, R Alcalá, A Fernández, C Cano, W Fajardo, .... 2017
HYBRID COMPUTATIONAL INTELLIGENCE A Fernández, R Alcalá, JM Benítez, F Herrera. 2015
METSK-HDe: 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
Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation M Galende, MJ Gacto, G Sainz, R Alcalá. 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
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 review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, 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
Special Issue on “Evolutionary Fuzzy Systems” EFSs R Alcalá, Y Nojima, H Ishibuchi, F Herrera. 2013
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
Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems F Chávez, F Fernández, MJ Gacto, R Alcala. 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 Evolutionary Fuzzy Systems INTRODUCTION R Alcala, Y Nojima, H Ishibuchi, F Herrera. 2012
Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser F Chávez, F Fernández, R Alcalá, J Alcalá, F Herrera. 2012
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures MJ Gacto, R Alcalá, F Herrera. 2011
A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems R Alcalá, MJ Gacto, 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
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
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
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
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems M Mucientes, J Alcalá-Fdez, R Alcalá, J Casillas. 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
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems I Robles, R Alcalá, J Benítez, F Herrera. 2010
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
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm MJ Gacto, R Alcalá, F Herrera. 2009
Learning weighted linguistic rules to control an autonomous robot M Mucientes, R Alcalá, J Alcalá‐Fdez, J Casillas. 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
A Multi-objective Evolutionary Algorithm for Tuning Fuzzy Rule-Based Systems with Measures for Preserving Interpretability. MJ Gacto, R Alcalá, F Herrera. 2009
Special issue on genetic fuzzy systems: new advances R Alcalá, Y Nojima. 2009
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. I Robles, R Alcalá, JM Benítez, F Herrera. 2009
An improved multi-objective genetic algorithm for tuning linguistic fuzzy systems MJ Gacto, R Alcalá, F Herrera. 2008
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
Multi-objective genetic fuzzy systems: on the necessity of including expert knowledge in the MOEA design process MJ Gacto, R Alcala, 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 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
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
Guest editorial genetic fuzzy systems: what's next? an introduction to the special section O Cordon, R Alcala, J Alcala-Fdez, I Rojas. 2007
Special Issue on Genetic Fuzzy Systems: What’s Next? O Cordón, R Alcalá, J Alcalá-Fdez, I Rojas. 2007
Fuzzy rule reduction and tuning of fuzzy logic controllers for a HVAC system R Alcalá, J Alcalá-Fdez, 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
Improving fuzzy rule-based decision models by means of a genetic 2-tuples based tuning and the rule selection R Alcalá, J Alcalá-Fdez, FJ Berlanga, MJ Gacto, F Herrera. 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
Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms R Alcala, J Alcala-Fdez, MJ Gacto, F Herrera. 2006
Genetic lateral and amplitude tuning of membership functions for fuzzy systems R Alcalá, J Alcalá-Fdez, MJ Gacto, 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
Learning weighted linguistic rules for mobile robotics M Mucientes, R Alcalá, J Alcalá-Fdez, J Casillas. 2005
Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation R Alcala, 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
Linguistic modeling with hierarchical systems of weighted linguistic rules R Alcalá, JR Cano, O Cordón, F Herrera, P Villar, I Zwir. 2003
Fuzzy control of HVAC systems optimized by genetic algorithms R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez. 2003
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning R Alcalá, J Casillas, O Cordón, F Herrera. 2003
Genetic learning of accurate TS models based on local fuzzy prototyping. R Alcalá, J Alcalá-Fdez, 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
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
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
Algoritmos Genéticos para el Ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios R Alcalá, O Cordon, F Herrera. 2002
Techniques For Designing And Refining Linguistic Fuzzy Models To Improve Their Accuracy FH R. ALCALA, J. CASILLAS, O. CORDON. 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
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
Improvement to the cooperative rules methodology by using the ant colony system algorithm. R Alcalá, J Casillas, O Cordón, F Herrera. 2001
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. R Alcalá, J Casillas, O Cordón, F Herrera. 2001
Learning and tuning fuzzy rule-based systems for linguistic modeling and their applications R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir. 2000
Learning TSK Fuzzy Rule-Based Systems from Approximate Ones by means of MOGUL Methodology R Alcala, J Casillas, O Cordon, F Herrera. 2000
Approximate Mamdani-type fuzzy rule-based systems: Features and taxonomy of learning methods R Alcalá, J Casillas, O Cordón, F Herrera. 1999
Tuning fuzzy logic controllers for energy efficiency consumption in buildings. R Alcalá, J Casillas, A González. 1999

Descargando datos de la publicación

Scroll Up