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Fuzzy Markovian decision processes: Application to queueing systems
2010
Computers and Mathematics with Applications
In this paper, we calculate the best policy to be implemented regarding publicity decisions in a queueing system by using Markovian decision processes with fuzzy states. To this end, first we have defined the theory linking Markov chains with non-fuzzy states with Markov chains with fuzzy states, and we have calculated the Markov chain probabilities with fuzzy states using the conditional probability of the fuzzy eventà j given the fuzzy eventà i . Next, we illustrate by an example the
doi:10.1016/j.camwa.2010.08.004
fatcat:wshioo5u5nhfzodvowcylygfii