Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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Self-Organizing Fuzzy Systems with Rule Pruning

규칙 제거 기능이 있는 자기구성 퍼지 시스템

  • Lee, Chang-Wook (School of Electronic and Electrical Engineering Kyungpook National University) ;
  • Lee, Pyeong-Gi (School of Information and Electronic Engineering Uiduk University)
  • 이창욱 (경북대학교 전기전자공학부) ;
  • 이평기 (위덕대학교 정보전자공학부)
  • Received : 2002.10.17
  • Accepted : 2003.01.20
  • Published : 2003.02.28
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Abstract

In this paper a self-organizing fuzzy system with rule pruning is proposed. A conventional self-organizing fuzzy system having only rule generation has a drawback in generating many slightly different rules from the existing rules which results in increased computation time and slowly learning. The proposed self-organizing fuzzy system generates fuzzy rules based on input-output data and prunes redundant rules which are caused by parameter training. The proposed system has a simple structure but performs almost equivalent function to the conventional self-organizing fuzzy system. Also, this system has better learning speed than the conventional system. Simulation results on several numerical examples demonstrate the performance of the proposed system.

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