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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of approximate reasoning Jg. 55; H. 5; S. 1269 - 1300
Hauptverfasser:	Ben Amor, Nahla, Fargier, Hélène, Guezguez, Wided
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 01.07.2014 Elsevier
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!