"Value" of Additional Information in Multicriterion Analysis Under Uncertainty
AbstractThe 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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Bibliographic InfoPaper provided by Laval - Faculte des sciences de administration in its series Papers with number 96-41.
Length: 18 pages
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
Phone: (418) 656-2180
Web page: http://www.fsa.ulaval.ca/
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INFORMATION; UNCERTAINTY; MANAGEMENT;
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