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Article Dans Une Revue International Journal of Intelligent Systems Année : 1999

Qualitative Possibility Theory and Its Applications toConstraint Satisfaction and Decision under Uncertainty

Résumé

This paper provides a brief survey and an introduction to the modeling capabilities of qualitative possibility theory in decision analysis for the representation and the aggregation of preferences, for the treatment of uncertainty and for the handling of situations similar to previously encountered ones. “Qualitative” here means that we restrict ourselves to linearly ordered valuation sets (only the ordering of the grades is meaningful) for the assessment of preferences, uncertainty and similarity. Moreover, all the evaluations refer to the same valuation set (commensurability assumption). Such a qualitative structure is poor but not very demanding from an elicitation point of view; however, it is sufficient for giving birth to a valuable set of modeling tools. ©1999 John Wiley & Sons, Inc.

Dates et versions

hal-04013759 , version 1 (03-03-2023)

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Citer

Didier Dubois, Henri Prade. Qualitative Possibility Theory and Its Applications toConstraint Satisfaction and Decision under Uncertainty. International Journal of Intelligent Systems, 1999, 14 - Special Issue: Decision Theory in a Fuzzy Environment (1), pp.45--61. ⟨10.1002/(SICI)1098-111X(199901)14:1<45::AID-INT4>3.0.CO;2-R⟩. ⟨hal-04013759⟩
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