In some situations, a decision is best represented by an incompletely analyzed act: conditionally to a certain event, the consequences of the decision on sub-events are perfectly known and uncertainty becomes expressable through probabilities, whereas the plausibility of this event itself remains vague and the decision outcome on the complementary event is imprecisely known. In this framework, we study an axiomatic decision model and prove a representation theorem. Decision criteria must aggregate partial evaluations consisting in: i) the conditional expected utility associated with the analyzed part of the decision and ii) the best and worst outcomes of its non-analyzed part.
Keywords. Decision Making under Uncertainty, Partially Analyzed Decision
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Authors addresses:
Jean-Yves Jaffray
LIP6 UPMC
4 Pl. Jussieu, F-75252 Paris Cedex 05.
Meglena Jeleva
EUREQua
Maison des Sciences Economiques
106-112, bvd de l'Hopital
75013 Paris
E-mail addresses:
| Jean-Yves Jaffray | Jean-Yves.Jaffray@lip6.fr |
| Meglena Jeleva | jeleva@univ-paris1.fr |