Fernández Hilario, A. L. . ., del Jesus Díaz, M. J. ., Cordón García, Óscar ., Marcelloni, F. ., & Herrera Triguero, F. . (2019). Evolutionary Fuzzy Sistems for Explainable Artificial Intelligence: Why, When, What for, and Where to ?. IEEE Computational Intelligence, 1, 69-81. https://doi.org/10.1109/TFUZZ.2018.2814577
Óscar Cordón García
First name
Óscar
Last name
Cordón García
2019
2014
Palacios, A. M., Trawinski, K. ., Cordón García, Óscar ., & Sánchez, L. . (2014). Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 22, 643-675. https://doi.org/10.1142/S0218488514500330 (Original work published)
2013
Cordón García, Óscar ., Sánchez, L. ., Quirin, A. ., & Trawinski, K. . (2013). A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-based Multiclassifiers Revista: IEEE Transactions on Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 21, 950-965. https://doi.org/10.1109/TFUZZ.2012.2236844 (Original work published)
Trawinski, K. ., Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2013). Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?. Knowledge-Based Systems, 54, 3-21. https://doi.org/10.1016/j.knosys.2013.08.006
2010
Sánchez, L. ., Cordón García, Óscar ., Quirin, A. ., & Trawinski, K. . (2010). Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems. 75-80. https://doi.org/10.1109/GEFS.2010.5454152 (Original work published 2025)
2008
Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2008). On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles. 549-554. https://doi.org/10.1109/HIS.2008.147 (Original work published 2025)
Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2008). A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers. 11-16. https://doi.org/10.1109/GEFS.2008.4484560 (Original work published 2025)
2005
Casillas, J. ., Cordón García, Óscar ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2005). Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modeling. IEEE Transactions on Fuzzy Systems, 13, 13-29.
2003
Cordón García, Óscar ., Herrera Triguero, F. ., del Jesus Díaz, M. J. ., Magdalena, L. ., Sánchez, A. ., & Villar, P. . (2003). - A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems (B. . Bouchon-Meunier, L. . Foulloy, & R. R. Yager, Eds.). Amsterdam: Elsevier Science. https://doi.org/10.1016/B978-044451379-3/50026-1
Cordón García, Óscar ., del Jesus Díaz, M. J. ., Herrera Triguero, F. ., Magdalena, L. ., & Villar, P. . (2003). A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems (J. . Casillas, Óscar . Cordón García, F. . Herrera Triguero, & L. . Magdalena, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-37057-4_4