Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2001.05a
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- Pages.16-19
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- 2001
A Type 2 Fuzzy C-means
제2종 퍼지 집합을 이용한 퍼지 C-means
- Hwang, Cheul (Computational Vision and Fuzzy Systems Laboratory) ;
- Rhee, Fransk Chung-Hoon (Computational Vision and Fuzzy Systems Laboratory)
- Published : 2001.05.01
Abstract
This paper presents a type-2 fuzzy C-means (FCM) algorithm that is an extension of the conventional fuzzy C-means algorithm. In our proposed method, the membership values for each pattern are extended as type-2 fuzzy memberships by assigning membership grades to the type-1 memberships. In doing so, cluster centers that are estimated by type-2 memberships may converge to a more desirable location than cluster centers obtained by a type-1 FCM method in the presence of noise.