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- W2187466152 abstract "Fuzzy control is an effective method widely employed in the complex control field. However, in the fuzzy control, the adjustment (tuning) of the shape of mem- bership functions and the acquisition of fuzzy rules is still a very active research field. To solve the tuning problem, a number of fusion/union methods using neural networks (NNs) or genetic algorithms (GAS) have been proposed. By scanning through these methods, we find that these meth- ods are roughly divided into some categories depending on the grade of fusion/union between fuzzy models and NN, GA. In this papers, the fussion/union models are discussed and their applications in the field of control are explained." @default.
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- W2187466152 title "Acquisition of zzy Knowledge by NN and GA" @default.
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