Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

Generalized Fuzzy Modeling

  • Hwang, Hee-Soo (Department of Electrical Engineering, Yonsei University, Seoul) ;
  • Joo, Young-Hoon (Department of Electrical Engineering, Yonsei University, Seoul) ;
  • Woo, Kwang-Bang (Department of Electrical Engineering, Yonsei University, Seoul)
  • Published : 1993.06.01
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Abstract

In this paper, two methods of fuzzy modeling are prsented to describe the input-output relationship effectively based on relation characteristics utilizing simplified reasoning and neuro-fuzzy reasoning. The methods of modeling by the simplified reasoning and the neuro-fuzzy reasoning are used when the input-output relation of a system is 'crisp' and 'fuzzy', respectively. The structure and the parameter identification in the modeling method by the simplified reasoning are carried out by means of FCM clustering and the proposed GA hybrid scheme, respectively. The structure and the parameter identification in the modeling method by the neuro-fuzzy reasoning are carried out by means of GA and BP algorithm, respectively. The feasibility of the proposed methods are evaluated through simulation.

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