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Efficient decomposition methods of fuzzy relation and their application to image decomposition
Journal article   Peer reviewed

Efficient decomposition methods of fuzzy relation and their application to image decomposition

Hajime Nobuhara, Kaoru Hirota, Salvatore Sessa and Witold Pedrycz
Applied soft computing, Vol.5(4), pp.399-408
01/07/2005

Abstract

Two optimizations for decomposition problem of fuzzy relation (image) are proposed. The first optimization is a fast decomposition method of fuzzy relation based on the properties of max and min operations and the simultaneous updating of the prototype. The second optimization corresponds to an improvement of a cost function, in order to obtain a good quality of the solution of the decomposition problem.

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