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Fuzzy Model ldentification Based on Local Linearity Measure

DU Wen-ji; XIE Wei-xin; LIU Yuan; LI Yin-feng (School of Electronic Eng., xidian University, University, Xi'an 710071, China)  
A new Takagi-Sugeno type hay system modeling method is Proposed in this paper, which is based on local linearity measure of training data. The number of rules and their initial parameter values can be determined through this method. The relation between input/output variables can be approached much more accurately though parameter optimization. Finally a numerical example is used to illustrate the efficiency of this method.
【CateGory Index】: O141.4
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