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

Korean Institute of Intelligent Systems (한국지능시스템학회)
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The Design of GA-based TSK Fuzzy Classifier and Its application

GA기반 TSK 퍼지 분류기의 설계 및 응용

  • 곽근창 (충북대학교 전기전자 및 컴퓨터공학부) ;
  • 김승석 (충북대학교 전기전자 및 컴퓨터공학부) ;
  • 유정웅 (충북대학교 전기전자 및 컴퓨터공학부) ;
  • 전명근 (충북대학교 전기전자 및 컴퓨터공학부)
  • Published : 2001.12.01
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Abstract

In this paper, we propose a TSK-type fuzzy classifier using PCA(Principal Component Analysis), FCM(Fuzzy C-Means) clustering and hybrid GA(genetic algorithm). First, input data is transformed to reduce correlation among the data components by PCA. FCM clustering is applied to obtain a initial TSK-type fuzzy classifier. Parameter identification is performed by AGA(Adaptive Genetic Algorithm) and RLSE(Recursive Least Square Estimate). we applied the proposed method to Iris data classification problems and obtained a better performance than previous works.

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