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http://dx.doi.org/10.5391/JKIIS.2002.12.5.405

Fuzzy System Modeling Using New Hierarchical Structure  

Kim, Do-Wan (연세대학교 전기전자공학과)
Joo, Young-Hoon (군산대학교 전자정보공학부)
Park, Jin-Bae (연세대학교 전기전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.5, 2002 , pp. 405-410 More about this Journal
Abstract
In this paper, fuzzy system modeling using new hierarchical structure is suggested for the complex and uncertain system. The proposed modeling technique Is to decompose the fuzzy rule base structure into the above-rule base and the sub-rule base. By applying hierarchical fuzzy rules, they can be used efficiently and logically. Also, hieratical fuzzy rules can improve the accuracy and the transparency of structure in the fuzzy system. The genetic algorithm is applied for optimization of the parameters and the structure of the fuzzy rules. To show the effectiveness of the proposed method, fuzzy modeling of the complex nonlinear system is provided.
Keywords
퍼지 모델링;계층적 퍼지 규칙 기반;유전 알고리즘;비선형 시스템;
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