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AuthorKatebi, S. D.
Available date2009-11-25T13:06:24Z
Publication Date1996
Publication NameEngineering Journal of Qatar University
CitationEngineering Journal of Qatar University, 1996, Vol. 9, Pages 147-169.
URIhttp://hdl.handle.net/10576/7978
AbstractIn this paper modeling, selection and optimization of fuzzy rules for multivariable feedback process control and decision making systems are developed and discussed. A general model for multivariable fuzzy rules is derived and sets of fuzzy parameters are assigned to the consequents of each rule. A genetic algorithm is used to optimize these parameters. A genetic algorithm search technique is also developed for the selection of the sub-set of appropriate rules from a larger theoretically possible set. The procedure is implemented on a multivariable dynamic model and results of extensive simulation studies are presented to demonstrate a satisfactory performance of the proposed approach
Languageen
PublisherQatar University
SubjectEngineering: Research & Technology
TitleSelection Of Optimized Fuzzy Rules For Process Control Systems: Using Genetic Algorithms
TypeArticle
Pagination147-169
Volume Number9


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