Linguistic modeling with hierarchical systems of weighted linguistic rules

DOI10.1016/S0888-613X(02)00083-XzbMath1026.68141DBLPjournals/ijar/AlcalaCCHVZ03OpenAlexW2127709381WikidataQ62608496 ScholiaQ62608496MaRDI QIDQ1394979

Igor Zwir, Rafael Alcalá, Oscar Cordón, Pedro Villar, Francisco Herrera, José Ramón Cano

Publication date: 25 June 2003

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

Full work available at URL: https://doi.org/10.1016/s0888-613x(02)00083-x

zbMATH Keywords

genetic algorithmshierarchical fuzzy systemslinguistic fuzzy modelingweighted linguistic rules

Mathematics Subject Classification ID

Natural language processing (68T50)

Related Items (4)

A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS ⋮ Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms ⋮ A consensus-based method for group decision making with incomplete uncertain linguistic preference relations ⋮ Completing 2-tuple linguistic preference relations based on upper bound condition

Uses Software

• Genocop

Cites Work

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• A STUDY ABOUT THE INCLUSION OF LINGUISTIC HEDGES IN A FUZZY RULE LEARNING ALGORITHM
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• Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing

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