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- W2131683518 abstract "The performance of a fuzzy logic controller depends on its control rules and membership functions. Hence, it is very important to adjust these parameters to the process to be controlled. A method is presented for tuning fuzzy control rules by genetic algorithms to make the fuzzy logic control systems behave as closely as possible to the operator or expert behavior in a control process. The tuning method fits the membership functions of the fuzzy rules given by the experts with the inference system and the defuzzification strategy selected, obtaining high-performance membership functions by minimizing an error function defined using a set of evaluation input-output data. Experimental results show the method's good performance." @default.
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- W2131683518 date "1995-04-01" @default.
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- W2131683518 title "Tuning fuzzy logic controllers by genetic algorithms" @default.
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- W2131683518 doi "https://doi.org/10.1016/0888-613x(94)00033-y" @default.
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