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., 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
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)