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http://dx.doi.org/10.5391/JKIIS.2002.12.4.294

An Interval Type-2 Fuzzy Perceptron for Finding Linear Decision Boundaries  

Hwang, Cheul (한양대학교 전자공학과)
Rhee, Frank Chung-Hoon (한양대학교 전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.4, 2002 , pp. 294-299 More about this Journal
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.
Keywords
Interval 제2종 퍼지 집합;퍼셉트론;불확실성;
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