A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS

DOI10.1142/S0218488507004868zbMath1147.68063OpenAlexW2023893330MaRDI QIDQ3498258

María José Gacto, Jesús Alcalá-Fdez, Francisco Herrera, Rafael Alcalá

Publication date: 28 May 2008

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488507004868

zbMATH Keywords

rule selectionlinguistic modellingmulti-objective genetic algorithmsinterpretability-accuracy trade-offtuning of membership functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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