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Construction Method of Fuzzy Inference by Rule Creation
Michiharu MAEDA Hiromi MIYAJIMA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2003/06/01
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Papers Selected from 2002 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2002))
fuzzy modeling, construction method, gradient descent, simplified fuzzy reasoning, antecedent part,
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This paper describes two methods to construct fuzzy inference rules by the simplified fuzzy reasoning. The present methods have a construction mechanism of the rule unit that is applicable in two parameters: the central value and the width of the membership function in the antecedent part. The first approach is to create a rule unit near the selected rule which has the nearest position from the central input space for the central value. The second is to create a rule unit near the selected rule which has the minimum width for the width. Experimental results are presented in order to show that the proposed methods are effective in difference on the inference error and the number of learning iterations.