Title :
On the Max-geometric Mean Powers of a Fuzzy Matrix
Author :
Liu, Chia-Cheng ; Lur, Yung-Yih ; Wu, Yan-Kuen
Author_Institution :
Dept. of Manage. & Inf. Technol., Vanung Univ., Taoyuan, Taiwan
Abstract :
Fuzzy matrices provide convenient representations for fuzzy relations on finite universes. In the literature, the powers of a fuzzy matrix with max-min/ max-product/ max-Archimedean t-norm compositions/ max-arithmetic mean composition have been studied. It turns out that the limiting behavior of the powers of a fuzzy matrix depends on the composition involved. In this paper, the max-geometric mean composition is considered for the fuzzy relations. We proposed a simple and effective characterization for the limiting behavior with the notion of asymptotic period of a fuzzy matrix with the max-geometric mean composition. Moreover, if a fuzzy matrix A is primitive then we show that the max-geometric mean powers of A are always convergent.
Keywords :
fuzzy set theory; matrix algebra; fuzzy matrix; fuzzy relation; max-Archimedean t-norm composition; max-arithmetic mean composition; max-geometric mean composition; max-geometric mean powers; Arithmetic; Conference management; Convergence; Energy management; Fuzzy sets; Information management; Information technology; Technology management; convergence; max-geometric mean composition;
Conference_Titel :
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location :
Huangshan, Anhui
Print_ISBN :
978-1-4244-6812-6
Electronic_ISBN :
978-1-4244-6813-3
DOI :
10.1109/CSO.2010.164