"Value" of Additional Information in Multicriterion Analysis Under Uncertainty
The multicriterion analysis particularly, when one is in presence of multicriterion aggregation procedures based on outranking relations has not been well studied in the literature. The objective of this paper is to try to extend Bayesian approach to a multicriterion analysis in context on uncertainty, After illustrating the a posteriori analysis, we shall mention some difficulties associated with, the pre a posteriori analysis and the concepts of "expected value" of perfect or imperfect information.
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|Date of creation:||1996|
|Date of revision:|
|Contact details of provider:|| Postal: Canada; Universite Laval, Faculte des sciences de l'administration. Pavillon des sciences de l'administration. Universite laval, Quebec, Canada G1K 7P4|
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