Please use this identifier to cite or link to this item:
Title: A Particular Class of Ergodic Finite Fuzzy Markov Chains
Authors: MALLAK, SAED F.
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.
Appears in Collections:Applied science faculty

Files in This Item:
File Description SizeFormat 
10_6788_A - AFM__pp 253-268.pdf117.8 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.