Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On the axiomatization of qualitative decision criteria
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Qualitative models for decision under uncertainty without the commensurability assumption
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Qualitative decision theory with Sugeno integrals
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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Monotonic utilities are qualitative decision criteria that have been proposed for dealing with problems where preferences and uncertainty cannot be quantified. However, these criteria suffer from a double drawback: first, they may suffer from a lack of decisiveness power. Second, they do not fully satisfy the Sure-Thing Principle (STP), which is widely accepted as a fundamental property of decision criteria. We try to cope with these two problems, proposing refinements of these decision criteria that obey the Sure Thing Principle. These procedures are derived from the comparison of the monotonic utilities of acts, every state in which both acts give identical results being neglected.