A new Interval Type-2 Fuzzy Possibilistic C-Means Clustering Algorithm

被引：0
|
作者：
Rubio, E. [1 ]
Castillo, O. [1 ]
Melin, P. [1 ]
机构：
[1] Tijuana Inst Technol, Div Grad Studies & Res, Tijuana, Mexico
来源：
2015 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY DIGIPEN NAFIPS 2015 | 2015年
关键词：
Fuzzy Sets; fuzzy c-means; possibilistic; -c; Interval Type-2 Clustering algorithm; TISSUE DIFFERENTIATION; CLASSIFICATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we are presenting the extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic techniques, with the goal of improving the performance of this algorithm. We also performed the comparison of this proposed algorithm against the Interval Type-2 Fuzzy C-means (IT2FCM) algorithm to observe if the proposed approach performs better than this algorithm. The proposed extension was realized considering both of the weight exponents (fuzzy and possibilistic) the m and eta. as interval fuzzy sets.
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页数：5
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