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 thesolution of the decomposition problem.
Efficient decomposition methods of fuzzy relation and their application to image decomposition / Sessa, Salvatore; H., Nobuhara; W., Pedrycz; K., Hirota. - In: APPLIED SOFT COMPUTING. - ISSN 1568-4946. - STAMPA. - 5:4(2005), pp. 399-408. [10.1016/j.asoc.2004.09.002]
Efficient decomposition methods of fuzzy relation and their application to image decomposition
SESSA, SALVATORE;
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 thesolution of the decomposition problem.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
