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ORCIDAntonio Peregrín
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- affiliation: University of Huelva, Department of Information Technologies
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2010 – 2019
- 2019
[j12]Samuel López, Antonio A. Márquez
, Francisco Alfredo Márquez, Antonio Peregrín:
Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments. Cogn. Comput. 11(3): 388-399 (2019)- 2018
- [c15]Antonio Angel Márquez Hernández, Francisco Alfredo Márquez, Ana Maria Roldán, Antonio Peregrín:
A view of High Dimensional, Large-Scale and Big Data Fuzzy Rule based Regression and Control Systems. FUZZ-IEEE 2018: 1-6 - 2017
- [c14]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
A scalable evolutionary linguistic fuzzy system with adaptive defuzzification in big data. FUZZ-IEEE 2017: 1-6 - [c13]Miguel Ángel Rodríguez, Alberto Fernández, Antonio Peregrín, Francisco Herrera:
A Review of Distributed Data Models for Learning. HAIS 2017: 88-97 - 2015
- [c12]Juan M. Bardallo, Miguel A. De Vega, Francisco Alfredo Márquez, Antonio Peregrín:
Study on the use of uninorm aggregation operators in linguistic fuzzy modeling. IFSA-EUSFLAT 2015 - 2013
- [j11]Antonio A. Márquez, Francisco Alfredo Márquez, Ana M. Roldán, Antonio Peregrín:
An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling. Knowl. Based Syst. 54: 42-52 (2013) - 2012
- [j10]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
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. 5(2): 297-321 (2012) - [c11]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
An efficient multi-objective evolutionary adaptive conjunction for high dimensional problems in linguistic fuzzy modelling. FUZZ-IEEE 2012: 1-8 - 2011
- [j9]Miguel Rodríguez, Diego M. Escalante, Antonio Peregrín:
Efficient Distributed Genetic Algorithm for Rule extraction. Appl. Soft Comput. 11(1): 733-743 (2011) - [j8]L. Ignacio Lopez, Juan M. Bardallo, Miguel A. De Vega, Antonio Peregrín:
REGAL-TC: a distributed genetic algorithm for concept learning based on REGAL and the treatment of counterexamples. Soft Comput. 15(7): 1389-1403 (2011) - 2010
- [c10]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín Rubio:
A multi-objective evolutionary algorithm with an interpretability improvement mechanism for linguistic fuzzy systems with adaptive defuzzification. FUZZ-IEEE 2010: 1-7 - [c9]Ruth M. Toscano, Javier Aroba, Antonio Peregrín:
A methodology to generate compact and accurate fuzzy knowledge bases based on fuzzy clustering and evolutionary selection and tuning. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [j7]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms. Evol. Intell. 2(1-2): 39-51 (2009) - [c8]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms. IFSA/EUSFLAT Conf. 2009: 1045-1050 - [c7]Juan M. Bardallo, Miguel A. De Vega, Francisco Alfredo Márquez, Antonio Peregrín:
Parallel evolutionary multiobjective methodology for granularity and rule base learning in linguistic fuzzy systems. FUZZ-IEEE 2009: 1700-1705 - [c6]Diego M. Escalante, Miguel Ángel Rodríguez, Antonio Peregrín:
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data. HAIS 2009: 638-645 - [c5]Miguel A. De Vega, Juan M. Bardallo, Francisco Alfredo Márquez, Antonio Peregrín:
Parallel Distributed Two-Level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems. ISDA 2009: 134-139 - 2008
- [c4]Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms. HAIS 2008: 739-746 - [c3]Antonio Peregrín, Miguel Ángel Rodríguez:
Efficient Distributed Genetic Algorithm for Rule Extraction. HIS 2008: 531-536 - 2007
- [j6]Jesús Alcalá-Fdez, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. Int. J. Intell. Syst. 22(9): 1035-1064 (2007) - [j5]Francisco Alfredo Márquez, Antonio Peregrín, Francisco Herrera:
Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems. IEEE Trans. Fuzzy Syst. 15(6): 1162-1178 (2007) - 2004
- [j4]José Manuel Andújar, José Manuel Bravo, Antonio Peregrín:
Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic. Fuzzy Sets Syst. 148(3): 337-353 (2004) - [j3]Oscar Cordón, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling. Int. J. Hybrid Intell. Syst. 1(1): 36-48 (2004) - 2003
- [c2]Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. EUSFLAT Conf. 2003: 100-104 - 2000
- [j2]Oscar Cordón, Francisco Herrera, Antonio Peregrín:
Searching for basic properties obtaining robust implication operators in fuzzy control. Fuzzy Sets Syst. 111(2): 237-251 (2000)
1990 – 1999
- 1999
- [c1]Oscar Cordón, Francisco Herrera, Antonio Peregrín:
Characterisation of implication operators in fuzzy rule based systems from basic properties. EUSFLAT-ESTYLF Joint Conf. 1999: 163-166 - 1997
- [j1]Oscar Cordón, Francisco Herrera, Antonio Peregrín:
Applicability of the fuzzy operators in the design of fuzzy logic controllers. Fuzzy Sets Syst. 86(1): 15-41 (1997)
Coauthor Index
aka: Antonio Angel Márquez Hernández
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