DocumentCode :
2903811
Title :
Convergence of powers of a max-convex mean fuzzy matrix
Author :
Lur, Yung-Yih ; Wu, Yan-Kuen ; Guu, Sy-Ming
Author_Institution :
Dept. of Ind. Manage., Vanung Univ., Chungli
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
562
Lastpage :
566
Abstract :
Fuzzy matrices provide convenient representations for fuzzy relations on finite universes. In the literature, the behavior of powers of a fuzzy matrix with max-min/max-product/max-Archimedean t-norm/max-t-norm compositions have been studied. Conventionally, the algebraic operations involved in the study of powers of a fuzzy matrix usually belong to the max-t-norms. Recently the powers of a max-arithmetic mean fuzzy matrix have been studied. Typically, the max-arithmetic mean operation is not a max-t-norm. Since the max-arithmetic mean is a special example of the max-convex mean operations, we shall extend the study to powers of a max-convex mean fuzzy matrix in this paper.We show that its powers are always convergent.
Keywords :
convergence; fuzzy set theory; matrix algebra; finite universes; fuzzy relations; max-arithmetic mean fuzzy matrix; max-convex mean fuzzy matrix; powers convergence; t-norm/max-t-norm compositions; Arithmetic; Business communication; Convergence; Fuzzy sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7584
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2008.4630424
Filename :
4630424
Link To Document :
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