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المؤلفKatebi, S. D.
تاريخ الإتاحة2009-11-25T13:06:24Z
تاريخ النشر1996
اسم المنشورEngineering Journal of Qatar University
الاقتباسEngineering Journal of Qatar University, 1996, Vol. 9, Pages 147-169.
معرّف المصادر الموحدhttp://hdl.handle.net/10576/7978
الملخصIn 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
اللغةen
الناشرQatar University
الموضوعEngineering: Research & Technology
العنوانSelection Of Optimized Fuzzy Rules For Process Control Systems: Using Genetic Algorithms
النوعArticle
الصفحات147-169
رقم المجلد9
dc.accessType Open Access


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