Extraction of fuzzy knowledge bases from experimental data by genetic algorithms

DOI10.1023/A:1012773403230zbMath1034.68090OpenAlexW1824780224MaRDI QIDQ1407159

Yu. I. Mityushkin, A. P. Rotshtejn

Publication date: 9 September 2003

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1012773403230

zbMATH Keywords

fuzzy logicexpert knowledge baseslinguistic IF-THEN rulesfuzzy knowledge basesgenetic optimization algorithmidentification of nonlinear dependencesprocessing of results of multifactorial experiments

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (3)

Identification of a nonlinear dependence by a fuzzy knowledge base in the case of a fuzzy training set ⋮ Inventory control as an identification problem based on fuzzy logic ⋮ Adaptive diagnostic system based on fuzzy relations

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