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http://dx.doi.org/10.5391/JKIIS.2007.17.5.598

Automatic learning of fuzzy rules for the equivalent 2 layered hierarchical fuzzy system  

Joo, Moon-G. (부경대학교 전자컴퓨터정보통신공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.5, 2007 , pp. 598-603 More about this Journal
Abstract
To solve the rule explosion problem in multi-input fuzzy system, a method of converting a given fuzzy system to 2 layered hierarchical fuzzy system has been reported, where at the 1st layer, linearly independent fuzzy rule vectors generated from the given fuzzy system are used and, at the 2nd layer, linear combinations of these independent fuzzy rule vectors are used. In this paper, the steapest descent algorithm is presented to learn the fuzzy rule vectors and related coefficients for the equivalent 2 layered hierarchical structure. By simulation of learning of ball and beam control system, the feasibility of proposed learning scheme is shown.
Keywords
Hierarchical fuzzy system; fuzzy rule vector; linear combination; steapest descent algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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