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Adaptation of Fuzzy Inferencing: A Survey

Fuzzy inference has numerous applications, ranging from control to forecasting. A number of researchers have suggested how such systems can be tuned during application to enhance inference performance. Inference parameters that can be tuned include the central tendency and dispersion of the input and output fuzzy membership functions, the rule base, the cardinality of the fuzzy membership function sets, the shapes of the membership functions and the parameters of the fuzzy AND and OR operations. In this paper, an overview of these tuning procedures is given. An extensive bibliography is provided of recent literature on