PEDRO
VILLAR CASTRO
PROFESOR TITULAR DE UNIVERSIDAD
FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Publications by the researcher in collaboration with FRANCISCO HERRERA TRIGUERO (21)
2018
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Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust
Applied Soft Computing Journal, Vol. 67, pp. 941-952
2017
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A decision making model to evaluate the reputation in social networks using HFLTS
IEEE International Conference on Fuzzy Systems
2016
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Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
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On the combination of pairwise and granularity learning for improving fuzzy rule-based classification systems: GL-FARCHD-OVO
Advances in Intelligent Systems and Computing
2015
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A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets
Applied Soft Computing Journal, Vol. 35, pp. 949-957
2014
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Designing a compact Genetic fuzzy rule-based system for one-class classification
IEEE International Conference on Fuzzy Systems
2012
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Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. 3, pp. 369-397
2011
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Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets
IEEE International Conference on Fuzzy Systems
2010
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A genetic algorithm for feature selection and granularity learning in fuzzy rule-based classification systems for highly imbalanced data-sets
Communications in Computer and Information Science
2009
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A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets
IEEE International Conference on Fuzzy Systems
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Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood- Based Crossover Operators
International Journal of Intelligent Systems, Vol. 24, Núm. 5, pp. 540-567
2007
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Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off
International Journal of Approximate Reasoning
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Un algoritmo Genético para Aprendizaje de un Sistema Basado en Reglas Difusas tipo Takagi Sugeno
Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
2003
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A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems
Intelligent Systems for Information Processing: From Representation to Applications (Elsevier B.V.), pp. 315-326
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Linguistic modeling with hierarchical systems of weighted linguistic rules
International Journal of Approximate Reasoning, Vol. 32, Núm. 2-3, pp. 187-215
2002
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A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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Multiple crossover per couple with selection of the two best offspring: An experimental study with the BLX-α crossover operator for real-coded genetic algorithms
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2001
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A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
Information Sciences, Vol. 136, Núm. 1-4, pp. 85-107
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A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
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Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
IEEE Transactions on Fuzzy Systems, Vol. 9, Núm. 4, pp. 667-674