DocumentCode :
2823808
Title :
On the Max-quasi-Arithmetic Mean Powers of a Fuzzy Matrix
Author :
Lur, Yung-Yih ; Wu, Yan-Kuen ; Lai, Kin Keung ; Guu, Sy-Ming
Author_Institution :
Dept. of Ind. Manage., Vanung Univ., Taoyuan, Taiwan
Volume :
2
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
846
Lastpage :
849
Abstract :
Since Thomason´s paper in 1977 showing that the max-min powers of a fuzzy matrix either converge or oscillate with a finite period, many different algebraic operations are employed to explore the limiting behavior of powers of a fuzzy matrix, such as max-min/max-product/max-Archimedean t-norm/max-t-norm/max-arithmetic mean operations. In this article, we consider the max-quasi-arithmetic mean powers of a fuzzy matrix which is an extensive case of the max-arithmetic mean, max-root power mean and max-convex mean. We also show that the powers of such fuzzy matrices are always convergent. Some numerical examples are provided to show the situation of convergence.
Keywords :
fuzzy set theory; matrix algebra; algebraic operations; fuzzy matrix; max-Archimedean t-norm operations; max-arithmetic mean operations; max-convex mean; max-min powers; max-product operations; max-quasi-arithmetic mean powers; max-root power mean; max-t-norm operations; Arithmetic; Computer industry; Conference management; Convergence of numerical methods; Energy management; Fuzzy sets; Marine vehicles; Fuzzy matix; convergence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.205
Filename :
5194076
Link To Document :
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