Title :
An interval type-2 fuzzy C spherical shells algorithm
Author :
Hwang, Cheul ; Rhee, Frank Chung-Hoon
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Ansan, South Korea
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. 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 :
fuzzy set theory; pattern clustering; cluster boundary; interval type-1 fuzzy C-spherical shells algorithm; interval type-1 fuzzy memberships; interval type-2 fuzzy C-spherical shells algorithm; interval type-2 fuzzy memberships; pattern vector; Clustering algorithms; Clustering methods; Computer vision; Fuzzy sets; Fuzzy systems; Laboratories; Machine vision; Noise shaping; Prototypes; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375568
