Francisco Herrera Triguero

First name
Francisco
Last name
Herrera Triguero

2012

Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2012). A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence, 36, 330-347. https://doi.org/10.1007/s10489-010-0264-x
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López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. Presented at the. (Original work published)
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García López, S. ., López, V. ., Luengo, J. ., Carmona, C. J. ., & Herrera Triguero, F. . (2012). A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 211-216. Villamoura - (Portugal). (Original work published 2025)
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2011

Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). A double axis classi. Presented at the.
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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.
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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
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Sanz, J. ., Fernández Hilario, A. L. . ., Bustince, H. ., & Herrera Triguero, F. . (2011). A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position. International Journal of Approximate Reasoning, 52, 751-766. https://doi.org/10.1016/j.ijar.2011.0
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Luengo, J. ., Fernández Hilario, A. L. . ., García López, S. ., & Herrera Triguero, F. . (2011). Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15, 1909-1936. https://doi.org/10.1007/s00500-010-0625-8
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Herrera Triguero, F. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2011). An overview on Subgroup Discovery: Foundations and Applications. Knowledge and Information Systems, 29, 495-525. https://doi.org/10.1007/s10115-010-0356-2
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Carmona, C. J. ., González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2011). Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD. 17-23. Paris (France). (Original work published 2025)
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