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Linguistic model identification for fuzzy system

Linguistic model identification for fuzzy system

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A simple identification method that realises fuzzy modelling using the input and output data pairs of a system is developed. The proposed method consists of two parts: one is to find the suitable number of rules and the other is to identify the parameters of fuzzy inference rules. A numerical example is provided to evaluate the feasibility of the proposed approach. Comparison shows that the suggested approach can produce a fuzzy model with higher accuracy than achieved previously in other methods.

Inspec keywords: model-based reasoning; identification; computational linguistics; fuzzy systems

Other keywords: output data pairs; fuzzy system; fuzzy inference rules; fuzzy modelling; input data pairs; linguistic model identification

Subjects: Formal languages and computational linguistics; Artificial intelligence (theory); Simulation, modelling and identification

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      • C.W. Xu . Fuzzy system identification. IEE Proc. D , 4 , 146 - 150
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