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
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2010
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 2025)
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 2025)
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 2025)
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2010). Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 18, 515-531. https://doi.org/10.1109/TFUZZ.2010.2041008
Carmona, C. J. ., González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2010). NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery. IEEE Transactions on Fuzzy Systems, 18, 958-970. https://doi.org/10.1109/TFUZZ.2010.2060200
Pérez Godoy, M. D. . ., Pérez, P. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., Frías Bustamante, M. del P. ., & Parras, M. . (2010). Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market (N. . García-Pedrajas, F. . Herrera Triguero, C. . Fyfe, J. M. Benitez, & M. . Ali, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.