Applicability of the fuzzy operators in the design of fuzzy logic controllers. - Oscar Cordón; Francisco Herrera; Antonio Peregrín (Fuzzy Sets Syst., 1997)

Characterisation of implication operators in fuzzy rule based systems from basic properties. - Oscar Cordón; Francisco Herrera; Antonio Peregrín (EUSFLAT-ESTYLF Joint Conf., 1999)

Searching for basic properties obtaining robust implication operators in fuzzy control. - Oscar Cordón; Francisco Herrera; Antonio Peregrín (Fuzzy Sets Syst., 2000)

Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. - Francisco Herrera; Francisco Alfredo Márquez; Antonio Peregrín (EUSFLAT Conf., 2003)

Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic. - José Manuel Andújar; José Manuel Bravo; Antonio Peregrín (Fuzzy Sets Syst., 2004)

A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling. - Oscar Cordón; Francisco Herrera; Francisco Alfredo Márquez; Antonio Peregrín (Int. J. Hybrid Intell. Syst., 2004)

Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. - Jesús Alcalá-Fdez; Francisco Herrera; Francisco Alfredo Márquez; Antonio Peregrín (Int. J. Intell. Syst., 2007)

Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems. - Francisco Alfredo Márquez; Antonio Peregrín; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2007)

Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (HAIS, 2008)

Efficient Distributed Genetic Algorithm for Rule Extraction. - Antonio Peregrín; Miguel Ángel Rodríguez (HIS, 2008)

Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (IFSA/EUSFLAT Conf., 2009)

Parallel evolutionary multiobjective methodology for granularity and rule base learning in linguistic fuzzy systems. - Juan M. Bardallo; Miguel A. De Vega; Francisco Alfredo Márquez; Antonio Peregrín (FUZZ-IEEE, 2009)

An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data. - Diego M. Escalante; Miguel Ángel Rodríguez; Antonio Peregrín (HAIS, 2009)

Parallel Distributed Two-Level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems. - Miguel A. De Vega; Juan M. Bardallo; Francisco Alfredo Márquez; Antonio Peregrín (ISDA, 2009)

Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (Evol. Intell., 2009)

A multi-objective evolutionary algorithm with an interpretability improvement mechanism for linguistic fuzzy systems with adaptive defuzzification. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín Rubio (FUZZ-IEEE, 2010)

A methodology to generate compact and accurate fuzzy knowledge bases based on fuzzy clustering and evolutionary selection and tuning. - Ruth M. Toscano; Javier Aroba; Antonio Peregrín (FUZZ-IEEE, 2010)

Efficient Distributed Genetic Algorithm for Rule extraction. - Miguel Rodríguez 005; Diego M. Escalante; Antonio Peregrín (Appl. Soft Comput., 2011)

REGAL-TC: a distributed genetic algorithm for concept learning based on REGAL and the treatment of counterexamples. - L. Ignacio Lopez; Juan M. Bardallo; Miguel A. De Vega; Antonio Peregrín (Soft Comput., 2011)

An efficient multi-objective evolutionary adaptive conjunction for high dimensional problems in linguistic fuzzy modelling. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (FUZZ-IEEE, 2012)

A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (Int. J. Comput. Intell. Syst., 2012)

An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling. - Antonio A. Márquez; Francisco Alfredo Márquez; Ana M. Roldán; Antonio Peregrín (Knowl. Based Syst., 2013)

Study on the use of uninorm aggregation operators in linguistic fuzzy modeling. - Juan M. Bardallo; Miguel A. De Vega; Francisco Alfredo Márquez; Antonio Peregrín (IFSA-EUSFLAT, 2015)

A scalable evolutionary linguistic fuzzy system with adaptive defuzzification in big data. - Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (FUZZ-IEEE, 2017)

A Review of Distributed Data Models for Learning. - Miguel Ángel Rodríguez; Alberto Fernández 001; Antonio Peregrín; Francisco Herrera (HAIS, 2017)

A view of High Dimensional, Large-Scale and Big Data Fuzzy Rule based Regression and Control Systems. - Antonio Angel Márquez Hernández; Francisco Alfredo Márquez; Ana Maria Roldán; Antonio Peregrín (FUZZ-IEEE, 2018)

Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments. - Samuel López 001; Antonio A. Márquez; Francisco Alfredo Márquez; Antonio Peregrín (Cogn. Comput., 2019)