Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181, 4340-4360. https://doi.org/10.1016/j.ins.2011.02.021 COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc..
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2011
Alcala-Fdez, J. ., Fernández Hilario, A. L. . ., Luengo, J. ., Derrac, J. ., García López, S. ., Sánchez, L. ., & Herrera Triguero, F. . (2011). KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing, 17, 255-287.
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). A double axis classi. Presented at the.
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems (A. M. Fanelli, W. . Pedrycz, & A. . Petrosino, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
2010
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 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