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Proceedings Paper

Some properties of the fuzzy equivalence matrices
Author(s): Jun Zhang; Bing Yang; Xiaomao Liu; Xinxin Zhu; Shaoqun Zeng
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Paper Abstract

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.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67882B (15 November 2007); doi: 10.1117/12.751304
Show Author Affiliations
Jun Zhang, Huazhong Univ. of Science and Technology (China)
Bing Yang, Huazhong Univ. of Science and Technology (China)
Xiaomao Liu, Huazhong Univ. of Science and Technology (China)
Xinxin Zhu, Huazhong Univ. of Science and Technology (China)
Shaoqun Zeng, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

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