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dc.contributor.authorRotshtein, A. P.en
dc.contributor.authorRakytyanska, H. B.en
dc.contributor.authorРотштейн, О. П.uk
dc.contributor.authorРакитянська, Г. Б.uk
dc.date.accessioned2019-10-10T12:53:53Z
dc.date.available2019-10-10T12:53:53Z
dc.date.issued2008
dc.identifier.citationRotshtein A. Inverse problem solving based on IF-THEN rules and genetic algorithms [Text] / A. Rotshtein, H. Rakytyanska // Information Processing and Management of Uncertainty in Knowledge based Systems IPMU – 2008: 12 Int. Conference, 22–27 June, 2008 : proceedings. – Malaga, Spain, 2008. – P. 777-784.en
dc.identifier.urihttp://ir.lib.vntu.edu.ua//handle/123456789/26547
dc.description.abstractThis paper proposes an approach for inverse problem solving based on the description of the interconnection between unobserved and observed parameters of an object with the help of fuzzy IF-THEN rules. The essence of the approach proposed consists in formulating and solving the optimization problems, which, on the one hand, find the roots of fuzzy logical equations, corresponding to IF-THEN rules, and on the other hand, tune the fuzzy model on the readily available experimental data. The genetic algorithms are proposed for the optimization problems solving.en
dc.language.isoen_ENen
dc.publisherUniversity of Malagaen
dc.relation.ispartofInt. Conference Information Processing and Management of Uncertainty in Knowledge based Systems IPMU – 2008, 22 – 27 June, 2008 : 777-784.en
dc.subjectinverse problemen
dc.subjectfuzzy IFTHEN rulesen
dc.subjectfuzzy logical equations solvingen
dc.titleInverse problem solving based on IF-THEN rules and genetic algorithmsen
dc.typeArticle


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