RAFAEL
ALCALÁ FERNÁNDEZ
CATEDRÁTICO DE UNIVERSIDAD
MARÍA JOSÉ
GACTO COLORADO
PROFESORA TITULAR DE UNIVERSIDAD
Publicaciones en las que colabora con MARÍA JOSÉ GACTO COLORADO (36)
2023
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Enhancing soft computing techniques to actively address imbalanced regression problems
Expert Systems with Applications, Vol. 234
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Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy
Fuzzy Sets and Systems, Vol. 465
2022
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Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension
International Journal of Fuzzy Systems, Vol. 24, Núm. 7, pp. 3082-3103
2021
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Meta-Fuzzy Items for Fuzzy Association Rules
IEEE International Conference on Fuzzy Systems
2020
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Temporal association rule mining: An overview considering the time variable as an integral or implied component
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 10, Núm. 4
2019
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Experimental study on 164 algorithms available in software tools for solving standard non-linear regression problems
IEEE Access, Vol. 7, pp. 108916-108939
2018
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Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 2
2014
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Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation
Information Sciences, Vol. 282, pp. 190-213
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METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems
Information Sciences, Vol. 276, pp. 63-79
2013
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Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems
IEEE International Conference on Fuzzy Systems
2012
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A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems
Applied Intelligence, Vol. 36, Núm. 2, pp. 330-347
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Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems
International Journal of Computational Intelligence Systems, Vol. 5, Núm. 2, pp. 368-386
2011
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A double axis classification of interpretability measures for Linguistic Fuzzy Rule-Based Systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems
IEEE Transactions on Fuzzy Systems, Vol. 19, Núm. 4, pp. 666-681
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Evolutionary multi-objective algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and air conditioning system
IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems
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Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences, Vol. 181, Núm. 20, pp. 4340-4360
2010
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Analysis of the performance of a semantic interpretability-based tuning and rule selection of fuzzy rule-based systems by means of a multi-objective evolutionary algorithm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo
XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]
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Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems
IEEE Transactions on Fuzzy Systems, Vol. 18, Núm. 3, pp. 515-531
2009
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A Multi-objective Evolutionary Algorithm for Tuning Fuzzy Rule-Based Systems with Measures for Preserving Interpretability
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE