Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Fuzzy inference system and Its Optimization according to partition of Fuzzy input space

퍼지 입력 공간 분할애 따른 퍼지 추론과 이의 최적화

  • Park, Byoung-Jun (Division of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Yoon, Ki-Chan (Division of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Oh, Sung-Kwun (Division of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Jang, Seong-Whan (Division of Electrical and Electronic Engineering, Wonkwang Univ.)
  • 박병준 (원광대학교 전기전자공학부) ;
  • 윤기찬 (원광대학교 전기전자공학부) ;
  • 오성권 (원광대학교 전기전자공학부) ;
  • 장성환 (원광대학교 전기전자공학부)
  • Published : 1998.11.28
Download PDF
⟨ Previous Next ⟩

Abstract

In order to optimize fuzzy modeling of nonlinear system, we proposed a optimal fuzzy model according to the characteristic of I/O relationship, HCM method, the genetic algorithm, and the objective function with weighting factor. A conventional fuzzy model has difficulty in definition of membership function. In order to solve its problem, the premise structure of the proposed fuzzy model is selected by both the partition of input space and the analysis of input-output relationship using the clustering algorithm. The premise parameters of the fuzzy model are optimized respectively by the genetic algorithm and the consequence parameters of the fuzzy model are identified by the standard least square method. Also, the objective function with weighting factor is proposed to achieve a balance between the performance results for the training and testing data.

Keywords