Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets

Artículo de revista 2012

P. Villar, Alberto Luis Fernández Hilario, R. Carrasco, Francisco Herrera Triguero

International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsVolumen 20Páginas 369-397

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Villar, P., Fernández Hilario, A. L., Carrasco, R., & Herrera Triguero, F. (2012). Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 369-397. https://doi.org/10.1142/S0218488512500195
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DOI
10.1142/S0218488512500195