A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position

Artículo de revista 2011

J. Sanz, Alberto Luis Fernández Hilario, H. Bustince, Francisco Herrera Triguero

International Journal of Approximate ReasoningVolumen 52Páginas 751-766

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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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DOI
10.1016/j.ijar.2011.0