Pedro Villar Castro

Universidad de Granada

Publicaciones

Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust

Applied Soft Computing

A decision making model to evaluate the reputation in social networks using HFLTS

IEEE International Conference on Fuzzy Systems

A first approach to a fuzzy classification system for age estimation based on the pubic bone
AUTHORS: Villar, P.; Alemán, I.; Castillo, L.; Damas, S.; Cordón, O.

IEEE International Conference on Fuzzy Systems

Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification

2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets

Applied Soft Computing

Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level

Ieee International Conference on Fuzzy Systems, Fuzz

Designing a compact Genetic fuzzy rule-based system for one-class classification

IEEE International Conference on Fuzzy Systems

Designing a compact Genetic Fuzzy Rule-Based System for One-Class Classification
AUTHORS: Villar, Pedro; Krawczyk, Bartosz; Sanchez, Ana M.; Montes, Rosana; Herrera, Francisco; IEEE

2014 Ieee International Conference on Fuzzy Systems (Fuzz-Ieee)

A linguistic multicriteria decision-making model applied to hotel service quality evaluation from web data sources

International Journal of Intelligent Systems

A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources
AUTHORS: Carrasco, R. A.; Villar, P.

Soft Computing

Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets
AUTHORS: Carrasco, Ramon A., Fernandez, Alberto, Herrera, Francisco, Villar, Pedro

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems

A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires

International Journal of Computational Intelligence Systems

A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires
AUTHORS: Carrasco, R. A.; Villar, P.; Hornos, M. J.; Herrera-Viedma, E.

International Journal of Computational Intelligence Systems

A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires
AUTHORS: Carrasco, R. A.; Villar, P.; Hornos, M. J.; Herrera-Viedma, E.

International Journal of Computational Intelligence Systems

Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets

IEEE International Conference on Fuzzy Systems

Studying the Behavior of a Multiobjective Genetic Algorithm to design Fuzzy Rule-Based Classification Systems for Imbalanced Data-Sets
AUTHORS: Villar, P.; Fernandez, A.; Herrera, F.; Ieee,

Ieee International Conference on Fuzzy Systems

Studying the Behavior of a Multiobjective Genetic Algorithm to design Fuzzy Rule-Based Classification Systems for Imbalanced Data-Sets
AUTHORS: Villar, P.; Fernandez, A.; Herrera, F.; Ieee,

Ieee International Conference on Fuzzy Systems

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

Communications in Computer and Information Science

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets
AUTHORS: Villar, P.; Fernandez, A.; Herrera, F.

Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Methods, Pt 1

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets
AUTHORS: Villar, P.; Fernandez, A.; Herrera, F.

Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Methods, Pt 1

A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets

2009 Ieee International Conference on Fuzzy Systems, Vols 1-3

Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood- Based Crossover Operators
AUTHORS: Herrera, F, Lozano, M, Sanchez, AM, Villar, P

International Journal of Intelligent Systems

Learning fuzzy partitions in FIR methodology
AUTHORS: Acosta, J.; Nebot, A.; Villar, P.; Fuertes, J. M.

International Journal of General Systems

Optimization of fuzzy partitions for inductive reasoning using genetic algorithms
AUTHORS: Acostay, J.; Nebot, A.; Villar, P.; Fuertes, J. M.

International Journal of Systems Science

Special issue on Genetic fuzzy systems and the interpretability-accuracy trade-off – Preface
AUTHORS: Casillas, J; Herrera, F; Perez, R; Villar, P

International Journal of Approximate Reasoning

ESTIMATING THE MAINTENANCE COST IN ELECTRIC NETWORKS USING AN HYBRID SOFT COMPUTING METHODOLOGY
AUTHORS: Acosta, Jesus; Nebot, Angela; Villar, Pedro; Fuertes, Josep M.; Bruzzone, AG; Guasch, A; Piera, MA; Rozenblit, J

International Mediterranean Modelling Multiconference 2006

ESTIMATING THE MAINTENANCE COST IN ELECTRIC NETWORKS USING AN HYBRID SOFT COMPUTING METHODOLOGY
AUTHORS: Acosta, Jesus; Nebot, Angela; Villar, Pedro; Fuertes, Josep M.; Bruzzone, AG; Guasch, A; Piera, MA; Rozenblit, J

International Mediterranean Modelling Multiconference 2006

Estimating the maintenance cost in electric networks using an hybrid soft computing methodology
AUTHORS: Acosta, J.; Nebot, À.; Villar, P.; Fuertes, J.M.

International Mediterranean Modelling Multiconference, I3M

Dealing with electrical distribution problems using the fuzzy inductive reasoning methodology
AUTHORS: Nebot, A.; Acosta, J.; Villar, P.

Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005

A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems
AUTHORS: Cordón, O.; Herrera, F.; Del Jesus, M.J.; Magdalena, L.; Sánchez, A.M.; Villar, P.

Intelligent Systems For Information Processing: From Representation To Applications

Linguistic modeling with hierarchical systems of weighted linguistic rules
AUTHORS: Alcala, R; Cano, JR; Cordon, O; Herrera, F; Villar, P; Zwir, I

International Journal of Approximate Reasoning

A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems
AUTHORS: Cordon, O.; Herrera, F.; de la Montana, J.; Sanchez, A. M.; Villar, P.

Advances in Artificial Intelligence - Iberamia 2002, Proceedings

A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems
AUTHORS: Cordon, O.; Herrera, F.; de la Montana, J.; Sanchez, A. M.; Villar, P.

Advances in Artificial Intelligence - Iberamia 2002, Proceedings

A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems
AUTHORS: Cordón, O.; Herrera, F.; De La Montaña, J.; Sánchez, A.M.; Villar, P.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Multiple crossover per couple with selection of the two best offspring: An experimental study with the BLX-alpha crossover operator for real-coded genetic algorithms
AUTHORS: Herrera, F.; Lozano, M.; Perez, E.; Sanchez, A. M.; Villar, P.

Advances in Artificial Intelligence - Iberamia 2002, Proceedings

Multiple crossover per couple with selection of the two best offspring: An experimental study with the BLX-alpha crossover operator for real-coded genetic algorithms
AUTHORS: Herrera, F.; Lozano, M.; Perez, E.; Sanchez, A. M.; Villar, P.

Advances in Artificial Intelligence - Iberamia 2002, Proceedings

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
AUTHORS: Herrera, F.; Lozano, M.; Pérez, E.; Sánchez, A.M.; Villar, P.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
AUTHORS: Cordon, O; Herrera, F; Magdalena, L; Villar, P

Information Sciences

A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems
AUTHORS: Cordón, O.; Herrera, F.; Del Jesus, M.J.; Villar, P.

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
AUTHORS: Cordon, O; Herrera, F; Villar, P

Ieee Transactions on Fuzzy Systems

Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing
AUTHORS: Cordon, O; Herrera, F; Villar, P

International Journal of Approximate Reasoning