García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2010). A Review on Evolutionary Prototype Selection. https://doi.org/10.4018/978-1-60566-798-0.ch005
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2010
Fernández Hilario, A. L., Calderón, M., Barrenechea, E., Bustince, H., & Herrera Triguero, F. (2010). Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations. Fuzzy Sets and Systems, 161, 3064-3080. https://doi.org/10.1016/j.fss.2010.05.016
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. 6178, 89-98. Dortmund (Germany). (Original work published 2026)
García López, S., Fernández Hilario, A. L., Luengo, J., & Herrera Triguero, F. (2010). Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences, 180, 2044-2064. https://doi.org/10.1016/j.ins.2009.12.010
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. 69-74. Mieres (Spain). (Original work published 2026)
Gacto, M. J., Alcalá, R., & Herrera Triguero, F. (2010). 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. 228-238. Córdoba. (Original work published 2026)
Fernández Hilario, A. L., Luengo, J., García López, S., Bernadó-Mansilla, E., & Herrera Triguero, F. (2010). Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation, 14, 913-941. https://doi.org/10.1109/TEVC.2009.2039140
Berlanga, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). GP-COACH: Genetic Programming-based learning of Compact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Information Sciences, 180, 1183-1200. https://doi.org/10.1016/j.ins.2009.12.020
Sanz, J., Fernández Hilario, A. L., Bustince, H., & Herrera Triguero, F. (2010). Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning. Information Sciences, 180, 3674-3685. https://doi.org/10.1016/j.ins.2010.06.018
Gacto, M. J., Alcalá, R., & Herrera Triguero, F. (2010). Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. 73-78. Huelva. (Original work published 2026)