Steady State Distribution of a Fuzzy Possibilistic Markov Model

Abstract

Fuzzy Possibilistic Markov Model is an efficient tool to study the system behavior at any point
of time. In this paper we view a fuzzy possibilistic Markov model as a weighted vertex fuzzy graph. Using
this approach we find the fuzzy membership distribution at a given time. The steady state distribution is also
obtained and are represented as triangular fuzzy number.