Markov chain with fuzzy states: Application to queuing decision models

In this paper, we design a queuing system by calculating the best policy to be implemented regarding publicity decisions by using Markov chains with fuzzy states. To this end, first we calculate the steady-state probabilities when the states of the Markov Chain become fuzzy, and next we illustrate by an example the theoretical results previously obtained. In the example, we apply the linear programming solution to the Markovian decision process.