Some properties of the fuzzy equivalence matrices

被引：0
|
作者：
Zhang, Jun [1 ,3 ]
Yang, Bing [1 ]
Liu, Xiaomao [2 ]
Zhu, Xinxin [1 ]
Zeng, Shaoqun [3 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Multi Spectral Informat Proc Techno, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Dept Math, Wuhan 430074, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Life Sci & Technol, Wuhan 430074, Peoples R China
来源：
MIPPR 2007: PATTERN RECOGNITION AND COMPUTER VISION | 2007年 / 6788卷
关键词：
fuzzy clustering; fuzzy equivalence matrix;
D O I：
10.1117/12.751304
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In fuzzy clustering, we always use fuzzy equivalence matrix to find the clustering results. Although fuzzy equivalence matrix is one of the most important tools in fuzzy clustering, it's hard to judge whether a fuzzy matrix is a fuzzy equivalence matrix directly. In this paper, some simple and useful properties of the fuzzy equivalence matrices have been proposed based on the basic properties proposed in the classical articles. Using these properties, the judgment whether a fuzzy matrix is a fuzzy equivalence matrix may become an easy work.
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页数：7
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