Fuzzy Eigenvalues and Fuzzy Eigenvectors of Fuzzy Markov Chain Transition Matrix under Max-min Composition

  • Jean Pierre Mukeba Kanyinda, Rostin Mabela, +4 authors Berthold Ulungu Ekunda
  • Published 2015

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.

Cite this paper

@inproceedings{Kanyinda2015FuzzyEA, title={Fuzzy Eigenvalues and Fuzzy Eigenvectors of Fuzzy Markov Chain Transition Matrix under Max-min Composition}, author={Jean Pierre Mukeba Kanyinda and Rostin Mabela and Makengo Matendo and Berthold Ulungu and Ekunda Lukata and Donatien Ntantu Ibula and Berthold Ulungu Ekunda}, year={2015} }