Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms

DOI10.1016/J.IJAR.2008.11.003zbMath1191.68707OpenAlexW2048545343MaRDI QIDQ962877

José A. Gámez, Luis delaOssa, José M. Puerta

Publication date: 7 April 2010

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2008.11.003

zbMATH Keywords

CORhybrid systemssoft computingdata miningestimation of distribution algorithmslinguistic fuzzy systemsweighted fuzzy rules

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Piecewise parametric polynomial fuzzy sets ⋮ A new probabilistic fuzzy model: Fuzzification-Maximization (FM) approach

Uses Software

• FuzzyJ

Cites Work

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