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A Particular Class of Ergodic Finite Fuzzy Markov Chains

Authors: 
1Saed F. Mallak
2Mohammad Mara'Beh
Abdelhalim Zaiqan
Journal Name: 
Advances in Fuzzy Mathematics
Volume: 
6
Issue: 
2
Pages From: 
253
To: 
268
Date: 
Saturday, January 1, 2011
Keywords: 
A Fuzzy Set, A Fuzzy Relation, Max-Min Composition, Fuzzy transition matrix, Ergodic Fuzzy Markov Chain.
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.