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International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.1, No.1, Oct. 2009

Fuzzy Pattern Recognition Based on Symmetric Fuzzy Relative Entropy

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Author(s)

Y.F. Shi, L.H. He, J. Chen

Index Terms

Pattern recognition, fuzzy set, fuzzy similarity degree, relative entropy, symmetric fuzzy relative entropy, divergence

Abstract

Based on fuzzy similarity degree, entropy, relative entropy and fuzzy entropy, the symmetric fuzzy relative entropy is presented, which not only has a full physical meaning, but also has succinct practicability. The symmetric fuzzy relative entropy can be used to measure the divergence between different fuzzy patterns. The example demonstrates that the symmetric fuzzy relative entropy is valid and reliable for fuzzy pattern recognition and classification, and its classification precision is very high.

Cite This Paper

Y.F. Shi, L.H. He, J. Chen,"Fuzzy Pattern Recognition Based on Symmetric Fuzzy Relative Entropy", International Journal of Intelligent Systems and Applications(IJISA), vol.1, no.1, pp.68-75, 2009. DOI: 10.5815/ijisa.2009.01.08

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