Proceedings of the Fuzzy System Symposium
25th Fuzzy System Symposium
Session ID : 2A4-03
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A development of reflexive fuzzy modeling technique based on input space division
*AKIHIRO KASUYANAKAZI HONDATOSHIKATU UEDA
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Keywords: Fuzzy Modeling
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Abstract
Fuzzy modeling is an effective technique as the modeling technique of the nonlinearity system. The part where the nonlinearity is strong automatically increases the number of rules in this text according to the degree of the nonlinearity of the object system, and a weak part proposes the fuzzy modeling technique of decreasing the number of rules. The proposal technique repeats that fuzzy modeling is done by dividing the input space of the object system and the model centering on the maximum error margin point of the object system and the obtained model in each division space. The technique for proposing it than the number of fuzzy rules roughly generated one after another this time was obtained for the modeling object that had been experimented as a result this time and the modeling result of the accuracy of this level was obtained by a less number of rules.
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© 2009 Japan Society for Fuzzy Theory and Intelligent Informatics
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