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Fuzzy logic controllers suffer from rule explosion problem as the number of rules increases exponentially with the number of input variables. Although several methods have been proposed for eliminating the combinatorial rule explosion problem, none of them is fully satisfactory. In this paper, we describe a new adaptive method for the design of cascaded layer based hierarchical fuzzy system with high...
In this paper, fuzzy logic control systems and real coded quantum inspired evolutionary algorithm (RCQIEA) are integrated for intelligent control. Here, RCQIEAs is utilized as an adaptive method for selection and definition of fuzzy control rules and for tuning the parameters of membership function for each fuzzy control rule in two different ways. The majority of fuzzy logic controllers (FLCs) to...
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