A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A clustering algorithm for fuzzy model identification
Fuzzy Sets and Systems
A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts
Information Sciences: an International Journal
A min-max approach to fuzzy clustering, estimation, and identification
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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First of all, competitive learning takes place in the product space of systems inputs and outputs and each cluster corresponds to a fuzzy IF-THEN rule. Fuzzy relation matrix confirmed by fuzzy competitive learning is studied by orthogonal least square algorithm. The validity of fuzzy rules is obtained by means of analyzing the efforts of orthogonal vectors in fuzzy model, and subsequently removes less important ones. The structure identification and the parameter identification of fuzzy model are simultaneously confirmed in the proposed algorithm. Simulation results demonstrate that the presented approach can build the fuzzy models of nonlinear systems.