Evaluation of qualitative possibilistic influence diagrams using strong junction trees

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.