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On the Max-quasi-Arithmetic Mean Powers of a Fuzzy Matrix

Authors: Yung-Yih Lur; Yan-Kuen Wu; Kin Keung Lai; Sy-Ming Guu;

On the Max-quasi-Arithmetic Mean Powers of a Fuzzy Matrix

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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