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- W2068444711 abstract "This paper presents a methodology for implementing adaptive fuzzy systems based on a new concept called virtual fuzzy set. The concept provides a new representation for the consequent part of a fuzzy production rule. A virtual fuzzy set, which consists of two consecutive fuzzy sets with different degrees of membership, is an imaginary fuzzy set located at a location most appropriate for a numerical training sample. The new concept is incorporated into an adaptive algorithm based on the fuzzy rule generation scheme suggested by Wang and Mendel. It is a one-pass build-up procedure and time-consuming iterative training is not required. The proposed method has been applied to the fuzzy modelling of a difficult non-linear system. The results showed that the new algorithm has better performance than the Wang-Mendel approach. The improvement is more significant when the input-output space is quantized with a small number of fuzzy sets." @default.
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- W2068444711 date "1995-04-01" @default.
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- W2068444711 title "A more accurate adaptive fuzzy inference system" @default.
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- W2068444711 doi "https://doi.org/10.1016/0166-3615(95)80006-9" @default.
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