Fuzzy Clustering of Intuitionistic Fuzzy Data

被引：0
|
作者：
Butkiewicz, Bohdan S. [1 ]
机构：
[1] Warsaw Univ Technol, PL-00665 Warsaw, Poland
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I | 2012年 / 7267卷
关键词：
fuzzy c-means clustering; fuzzy intuitionistic data;
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 the paper a new method of fuzzy clustering basing on fuzzy features is presented. Objects are described by set of features with intutionistic fuzzy values. Generally, the method uses the concept of modified fuzzy c-means procedure applied to intuitionistic fuzzy data which describes the features. New distance measure between data and cluster centers is suggested. Some examples of clustering results are presented. The method is efficient and very fast.
引用
收藏
页码：213 / 220
页数：8
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