Title of article
Ergodicity of Fuzzy Markov Chains Based on Simulation Using Sequences
Author/Authors
Fathi Vajargah، Behrouz نويسنده Department of Statistics, University of Guilan, Rasht, Iran, , , Gharehdaghi، Maryam نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
7
From page
159
To page
165
Abstract
As shown in [1], we reduce periodicity of fuzzy Markov chains using the Halton quasi-random generator. In this paper, we employ two different quasi-random sequences namely Faure and Kronecker to generate the membership values of fuzzy Markov chain. Using simulation it is revealed that the number of ergodic fuzzy Markov chain simulated by Kronecker sequences is more than the one obtained by Faure sequences.
Journal title
The Journal of Mathematics and Computer Science(JMCS)
Serial Year
2014
Journal title
The Journal of Mathematics and Computer Science(JMCS)
Record number
1450046
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