Chávez, F. ., Fernández Hilario, A. L. . ., Gacto, M. J., & Alcalá, R. . (2012). Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. International Journal of Computational Intelligence Systems, 5, 368-386. https://doi.org/10.1080/18756891.2012.685327
Rafael Alcalá
First name
Rafael
Last name
Alcalá
2012
2011
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.
Alcalá, R. ., Gacto, M. J., & Herrera Triguero, F. . (2011). A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems, 19, 666-681. https://doi.org/10.1109/TFUZZ.2011.2131657
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. Presented at the. (Original work published 2025)
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..
2010
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
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)
2009
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2009). A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. 1146-1151. Lisbon, Portugal: IFSA/EUSFLAT 2009. (Original work published 2025)