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2008

On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition

13 years 3 months ago
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
The importance of suitable distance measures between intuitionistic fuzzy sets (IFSs) arises because of the role they play in the inference problem. A concept closely related to one of distance measures is a divergence measure based on the idea of information-theoretic entropy that was first introduced in communication theory by Shannon (1949). It is known that Jdivergence is an important family of divergences. In this paper, we construct J-divergence between IFSs. The proposed Jdivergence can induce some useful distance and similarity measures between IFSs. Numerical examples demonstrate that the proposed measures perform well in clustering and pattern recognition.
Wen-Liang Hung, Miin-Shen Yang
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where ISCI
Authors Wen-Liang Hung, Miin-Shen Yang
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