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http://dx.doi.org/10.6109/jkiice.2008.12.9.1591

Z. Cao's Fuzzy Reasoning Method using Learning Ability  

Park, Jin-Hyun (진주산업대학교 메카트로닉스공학과)
Lee, Tae-Hwan (진주산업대학교 메카트로닉스공학과)
Choi, Young-Kiu (부산대학교 전자전기정보컴퓨터공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.9, 2008 , pp. 1591-1598 More about this Journal
Abstract
Z. Cao had proposed NFRM(new fuzzy reasoning method) which infers in detail using relation matrix. In spite of the small inference rules, it shows good performance than mamdani's fuzzy inference method. In this paper, we propose Z. Cao's fuzzy inference method with learning ability which is used a gradient descent method in order to improve the performances. It is hard to determine the relation matrix elements by trial and error method. Because this method is needed many hours and effort. Simulation results are applied nonlinear systems show that the proposed inference method using a gradient descent method has good performances.
Keywords
Z. Cao's fuzzy inference method; mamdani's fuzzy inference method; gradient descent learning;
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