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http://dx.doi.org/10.5391/JKIIS.2004.14.6.713

Interval Type-2 Fuzzy C Clustering for Detecting Spherical Shells  

Hwang, Cheul (한양대학교 전자전기제어계측공학과)
Rhee, Frank Chung-Hoon (한양대학교 전자전기제어계측공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 713-719 More about this Journal
Abstract
This paper presents an interval type-2 fuzzy C-spherical shells (FCSS) algorithm that is an extension of the type-1 FCSS 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 cluster boundary obtained by the interval type-2 FCSS can be found to be more desirable than that of type-1 FCSS in the presence of noise. Experimental results are given to show the effectiveness of our method.
Keywords
FCSS;
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