Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. - Oscar Cordón; Francisco Herrera; Pedro Villar (EUSFLAT-ESTYLF Joint Conf., 1999)

Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. - Oscar Cordón; Francisco Herrera; Pedro Villar (Int. J. Approx. Reason., 2000)

A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base. - Oscar Cordón; Francisco Herrera; Luis Magdalena; Pedro Villar (Inf. Sci., 2001)

Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. - Oscar Cordón; Francisco Herrera; Pedro Villar (IEEE Trans. Fuzzy Syst., 2001)

A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. - Oscar Cordón; Francisco Herrera; J. de la Montaña; Ana M. Sánchez; Pedro Villar (IBERAMIA, 2002)

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. - Francisco Herrera; Manuel Lozano 001; Elena Pérez; Ana M. Sánchez; Pedro Villar (IBERAMIA, 2002)

Linguistic modeling with hierarchical systems of weighted linguistic rules. - Rafael Alcalá; José Ramón Cano; Oscar Cordón; Francisco Herrera; Pedro Villar; Igor Zwir (Int. J. Approx. Reason., 2003)

Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. - Jorge Casillas; Francisco Herrera; Raúl Pérez; María José del Jesus; Pedro Villar (Int. J. Approx. Reason., 2007)

Learning fuzzy partitions in FIR methodology. - Jesús Antonio Acosta Sarmiento; Àngela Nebot; Pedro Villar; Josep M. Fuertes (Int. J. Gen. Syst., 2007)

Optimization of fuzzy partitions for inductive reasoning using genetic algorithms. - Jesús Antonio Acosta Sarmiento; Àngela Nebot; Pedro Villar; Josep M. Fuertes (Int. J. Syst. Sci., 2007)

A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets. - Pedro Villar; Alberto Fernández 001; Francisco Herrera (FUZZ-IEEE, 2009)

Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators. - Ana M. Sánchez; Manuel Lozano 001; Pedro Villar; Francisco Herrera (Int. J. Intell. Syst., 2009)

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. - Pedro Villar; Alberto Fernández 001; Francisco Herrera (IPMU (1), 2010)

Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets. - Pedro Villar; Alberto Fernández 001; Francisco Herrera (FUZZ-IEEE, 2011)

A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires. - Ramón Alberto Carrasco; Pedro Villar; Miguel J. Hornos; Enrique Herrera-Viedma (Int. J. Comput. Intell. Syst., 2011)

A linguistic multicriteria decision-making model applied to hotel service quality evaluation from web data sources. - Ramón Alberto Carrasco; Pedro Villar; Miguel J. Hornos; Enrique Herrera-Viedma (Int. J. Intell. Syst., 2012)

Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. - Pedro Villar; Alberto Fernández 001; Ramón Alberto Carrasco; Francisco Herrera (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012)

A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources. - Ramón Alberto Carrasco; Pedro Villar (Soft Comput., 2012)

Designing a compact Genetic fuzzy rule-based system for one-class classification. - Pedro Villar; Bartosz Krawczyk; Ana M. Sánchez; Rosana Montes; Francisco Herrera (FUZZ-IEEE, 2014)

On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO. - Pedro Villar; Alberto Fernández 001; Francisco Herrera (CORES, 2015)

Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level. - Pedro Villar; Alberto Fernández 001; Rosana Montes; Ana Maria Sánchez; Francisco Herrera (FUZZ-IEEE, 2015)

A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. - Rosana Montes; Ana M. Sánchez; Pedro Villar; Francisco Herrera (Appl. Soft Comput., 2015)

Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification. - Pedro Villar; Rosana Montes; Ana Maria Sánchez; Francisco Herrera (FUZZ-IEEE, 2016)

A decision making model to evaluate the reputation in social networks using HFLTS. - Rosana Montes; Ana M. Sánchez; Pedro Villar; Francisco Herrera (FUZZ-IEEE, 2017)

A first approach to a fuzzy classification system for age estimation based on the pubic bone. - Pedro Villar; Inmaculada Alemán; Laura Castillo; Sergio Damas; Oscar Cordón (FUZZ-IEEE, 2017)

Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. - Rosana Montes; Ana M. Sánchez; Pedro Villar; Francisco Herrera (Appl. Soft Comput., 2018)