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Credibilistic Markov decision processes: The average case

✍ Scribed by Masayuki Kageyama


Book ID
104005909
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
406 KB
Volume
224
Category
Article
ISSN
0377-0427

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✦ Synopsis


Using a concept of random fuzzy variables in credibility theory, we formulate a credibilistic model for unichain Markov decision processes under average criteria. And a credibilistically optimal policy is defined and obtained by solving the corresponding nonlinear mathematical programming. Also we give a computational example to illustrate the effectiveness of our new model.


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