Relating decision under uncertainty and multicriteria decision making models

Abstract : This short overview paper points out the striking similarity between decision under uncertainty and multicriteria decision making problems, two areas which have been developed in an almost completely independent way until now. This pertains both to additive and non-additive (including qualitative) approaches existing for the two decision paradigms. This leads to an emphasis on the remarkable formal equivalence between postulates underlying these approaches (like between the “sure-thing principle” and mutual preferential independence of criteria). This analogy is exploited by surveying classical results as well as very recent advances. This unified view should be fruitful for a better understanding of the postulates underlying the approaches, for cross-fertilization, and for adapting artificial intelligence uncertainty representation frameworks to preference modelling.
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Submitted on : Monday, September 7, 2015 - 5:37:56 PM
Last modification on : Thursday, March 21, 2019 - 1:10:40 PM

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Didier Dubois, Michel Grabisch, François Modave, Henri Prade. Relating decision under uncertainty and multicriteria decision making models. International Journal of Intelligent Systems, Wiley, 2000, 15 (10), pp.967-979. ⟨10.1002/1098-111X(200010)15:10<967::AID-INT5>3.0.CO;2-D⟩. ⟨hal-01194900⟩

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