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Expected transition costs based on a Markov model having fuzzy states with an application to policy selection

 

作者: A. De Korvin,   R. Kleyle,  

 

期刊: Stochastic Analysis and Applications  （Taylor Available online 1998）
卷期: Volume 16, issue 1  

页码: 51-64

 

ISSN:0736-2994

 

年代: 1998

 

DOI:10.1080/07362999808809516

 

出版商: Marcel Dekker, Inc.

 

数据来源: Taylor

 

摘要:

In this paper we develop a criterion for decision making when the process being observed is a Markov chain having fuzzy states. That is, due to imprecision in the data and/or the reporting mechanism, the decision maker is not certain of the current state of the process. An application to the problem of policy selection illustrates this approach to decision making

 

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