Abstract
We formulate a fuzzy perceptive model for Markov decision processes with discounted payoff in which the perception for transition probabilities is described by fuzzy sets. Our aim is to evaluate the optimal expected reward, which is called a fuzzy perceptive value, based on the perceptive analysis. It is characterized and calculated by a certain fuzzy relation. A machine maintenance problem is discussed as a numerical example. © Springer-Verlag Berlin Heidelberg 2005.
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Kurano, M., Yasuda, M., Nakagami, J. I., & Yoshida, Y. (2005). Perceptive evaluation for the optimal discounted reward in Markov decision processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3558 LNAI, pp. 283–293). Springer Verlag. https://doi.org/10.1007/11526018_28
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