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.
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Kurano, M., Yasuda, M., Nakagami, Ji., Yoshida, Y. (2005). Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes. In: Torra, V., Narukawa, Y., Miyamoto, S. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2005. Lecture Notes in Computer Science(), vol 3558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526018_28
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DOI: https://doi.org/10.1007/11526018_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27871-9
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