Title of article :
Fuzzy Eigenvalues and Fuzzy Eigenvectors of Fuzzy Markov Chain Transition Matrix under Max-min Composition
Author/Authors :
Kanyinda، Jean Pierre Mukeba نويسنده Department of Mathematics and Computer Science, Higher Institute of Education of Mbuji-Mayi (ISPMBUJI-MAYI); Democratic Republic of Congo , , Matendo، Rostin Mabela Makengo نويسنده Department of Mathematics and Computer Science, University of Kinshasa; Democratic Republic of Congo , , Lukata، Berthold Ulungu Ekunda نويسنده Higher Institute of Applied Techniques of Kinshasa (ISTA-KINSHASA); Democratic Republic of Congo , , Ibula، Donatien Ntantu نويسنده Department of Mathematics and Computer Science, National Pedagogical University of Kinshasa; Democratic Republic of Congo ,
Issue Information :
روزنامه با شماره پیاپی سال 2015
Pages :
11
From page :
25
To page :
35
Abstract :
The study of the stability of many stochastic processes as Markov chains needs sometimes to use eigenvalues and eigenvectors of the transition matrix. This paper is an investigation on a methodology which computes fuzzy eigenvalues and fuzzy eigenvectors within the context of a fuzzy Markov chain transition matrix, under max-min composition.
Journal title :
Journal of Fuzzy Set Valued Analysis
Serial Year :
2015
Journal title :
Journal of Fuzzy Set Valued Analysis
Record number :
2030893
Link To Document :
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