DocumentCode
614820
Title
Evaluation of qualitative possibilistic influence diagrams using strong junction trees
Author
Essghaier, Fatma ; Ben Amor, Nahla ; Fargier, Helene
Author_Institution
LARODEC, Inst. Super. de Gestion de Tunis, Le Bardo, Tunisia
fYear
2013
fDate
28-30 April 2013
Firstpage
1
Lastpage
6
Abstract
Possibilistic influence diagrams are decision graphical models in the possibilistic framework [1]. They present an alliance between decision theory, graph theory and possibilistic theory, in order to represent decision problems and define their optimal strategy through evaluation algorithms. In this paper we present a new approach to evaluate qualitative influence diagrams.
Keywords
decision theory; optimisation; possibility theory; trees (mathematics); decision graphical model; decision problem representation; decision theory; evaluation algorithm; graph theory; optimal strategy; possibilistic framework; possibilistic theory; qualitative influence diagram; qualitative possibilistic influence diagram; strong junction trees; Absorption; Context; Decision trees; Junctions; Particle separators; Probabilistic logic; Uncertainty; Possibilistic influence diagrams; decision theory; qualitative utilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location
Hammamet
Print_ISBN
978-1-4673-5812-5
Type
conf
DOI
10.1109/ICMSAO.2013.6552645
Filename
6552645
Link To Document