Antonio Peregrín

26 papers B 5C 2Misc 3Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2019 J jnl
Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments.
Cogn. Comput.
Samuel López, Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2018 B conf
A view of High Dimensional, Large-Scale and Big Data Fuzzy Rule based Regression and Control Systems.
FUZZ-IEEE
Antonio Angel Márquez Hernández, Francisco Alfredo Márquez, Ana Maria Roldán, Antonio Peregrín
2017 Misc conf
A Review of Distributed Data Models for Learning.
HAIS
Miguel Ángel Rodríguez, Alberto Fernández, Antonio Peregrín, Francisco Herrera
2017 B conf
A scalable evolutionary linguistic fuzzy system with adaptive defuzzification in big data.
FUZZ-IEEE
Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2015 — conf
Study on the use of uninorm aggregation operators in linguistic fuzzy modeling.
IFSA-EUSFLAT
Juan M. Bardallo, Miguel A. De Vega, Francisco Alfredo Márquez, Antonio Peregrín
2013 J jnl
An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling.
Knowl. Based Syst.
Antonio A. Márquez, Francisco Alfredo Márquez, Ana M. Roldán, Antonio Peregrín
2012 J jnl
A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm.
Int. J. Comput. Intell. Syst.
Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2012 B conf
An efficient multi-objective evolutionary adaptive conjunction for high dimensional problems in linguistic fuzzy modelling.
FUZZ-IEEE
Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2011 J jnl
Efficient Distributed Genetic Algorithm for Rule extraction.
Appl. Soft Comput.
Miguel Rodríguez, Diego M. Escalante, Antonio Peregrín
2011 J jnl
REGAL-TC: a distributed genetic algorithm for concept learning based on REGAL and the treatment of counterexamples.
Soft Comput.
L. Ignacio Lopez, Juan M. Bardallo, Miguel A. De Vega, Antonio Peregrín
2010 B conf
A methodology to generate compact and accurate fuzzy knowledge bases based on fuzzy clustering and evolutionary selection and tuning.
FUZZ-IEEE
Ruth M. Toscano, Javier Aroba, Antonio Peregrín
2009 Misc conf
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data.
HAIS
Diego M. Escalante, Miguel Ángel Rodríguez, Antonio Peregrín
2009 C conf
Parallel Distributed Two-Level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems.
ISDA
Miguel A. De Vega, Juan M. Bardallo, Francisco Alfredo Márquez, Antonio Peregrín
2009 B conf
Parallel evolutionary multiobjective methodology for granularity and rule base learning in linguistic fuzzy systems.
FUZZ-IEEE
Juan M. Bardallo, Miguel A. De Vega, Francisco Alfredo Márquez, Antonio Peregrín
2009 — conf
Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms.
IFSA/EUSFLAT Conf.
Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2009 J jnl
Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms.
Evol. Intell.
Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2008 Misc conf
Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms.
HAIS
Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín
2008 C conf
Efficient Distributed Genetic Algorithm for Rule Extraction.
HIS
Antonio Peregrín, Miguel Ángel Rodríguez
2007 J jnl
Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems.
IEEE Trans. Fuzzy Syst.
Francisco Alfredo Márquez, Antonio Peregrín, Francisco Herrera
2007 J jnl
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems.
Int. J. Intell. Syst.
Jesús Alcalá-Fdez, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín
2004 J jnl
A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling.
Int. J. Hybrid Intell. Syst.
Oscar Cordón, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín
2004 J jnl
Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic.
Fuzzy Sets Syst.
José Manuel Andújar, José Manuel Bravo, Antonio Peregrín
2003 — conf
Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study.
EUSFLAT Conf.
Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín
2000 J jnl
Searching for basic properties obtaining robust implication operators in fuzzy control.
Fuzzy Sets Syst.
Oscar Cordón, Francisco Herrera, Antonio Peregrín
1999 — conf
Characterisation of implication operators in fuzzy rule based systems from basic properties.
EUSFLAT-ESTYLF Joint Conf.
Oscar Cordón, Francisco Herrera, Antonio Peregrín
1997 J jnl
Applicability of the fuzzy operators in the design of fuzzy logic controllers.
Fuzzy Sets Syst.
Oscar Cordón, Francisco Herrera, Antonio Peregrín