Please use this identifier to cite or link to this item: https://scholar.ptuk.edu.ps/handle/123456789/468
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Title: A Particular Class of Ergodic Finite Fuzzy Markov Chains
Authors: MALLAK, SAED F.
MARA'BEH, MOHAMMAD
ZAIQAN, ABDELHALIM
Keywords: Fuzzy Set;Fuzzy Relation;Max-Min Composition;Fuzzy transition matrix;Ergodic Fuzzy Markov Chain
Issue Date: 2011
Publisher: Advances in Fuzzy Mathematics.
Abstract: In this paper, depending on max-min composition, we study the Ergodicity of a particular class of finite fuzzy Markov chains where the first row of the transition matrices consists of arbitrary values (between zero and 1) while the other rows’ entries are one in one place and zero elsewhere. Under certain conditions, we show that a fuzzy Markov chain in this class is Ergodic.
URI: https://scholar.ptuk.edu.ps/handle/123456789/468
Appears in Collections:Applied science faculty

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