Possibilistic sequential decision making

When the information about uncertainty cannot be quantified in a simple, probabilistic way, the topic of possibilistic decision theory is often a natural one to consider. The development of possibilistic decision theory has lead to the proposition a series of possibilistic criteria, namely: optimist...

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Bibliographic Details
Published in:	International journal of approximate reasoning Vol. 55; no. 5; pp. 1269 - 1300
Main Authors:	Ben Amor, Nahla, Fargier, Hélène, Guezguez, Wided
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Inc 01.07.2014 Elsevier
Subjects:	Applied sciences Branch and Bound Choquet integrals Decision analysis Decision theory. Utility theory Decision tree Dynamic Programming Exact sciences and technology Mathematical analysis Mathematical programming Mathematics Measure and integration Operational research and scientific management Operational research. Management science Possibility theory Sciences and techniques of general use Possibility theory Choquet integrals Decision analysis Dynamic Programming Decision tree Branch and Bound Process dynamics Multicriteria analysis Quantization Sequential decision Modeling Optimization Optimal strategy Uncertain system Dynamic programming Mathematical programming Probabilistic approach Branch and bound method Decision making Dominance Polynomial time Choquet expected utility Measure theory Decision theory Implicit enumeration method NP hard problem Problem solving Matrix polynomial Monotonicity
ISSN:	0888-613X, 1873-4731
Online Access:	Get full text
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