An Interval Type-2 Fuzzy Perceptron

Interval 제2종 퍼지 퍼셉트론

  • Hwang, Cheul (Department of Electronic Engineering, Hanyang University) ;
  • Rhee, Chung-Hoon (Department of Electronic Engineering, Hanyang University)
  • 황철 (한양대학교 전자공학과) ;
  • 이정훈 (한양대학교 전자공학과)
  • Published : 2002.05.01

Abstract

This Paper presents an interval type-2 fuzzy perceptron algorithm that is an extension of the type-1 fuzzy perceptron algorithm proposed in [1]. In our proposed method, the membership values for each Pattern vector are extended as interval type-2 fuzzy memberships by assigning uncertainty to the type-1 memberships. By doing so, the decision boundary obtained by interval type-2 fuzzy memberships can converge to a more desirable location than the boundary obtained by crisp and type-1 fuzzy perceptron methods. Experimental results are given to show the effectiveness of our method

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