Processing additional information in a multiple criteria context with mixed evaluations: including the weak preference relation

Sarah Ben Amor and Jean-Marc Martel

International Journal of Multicriteria Decision Making, 2013, vol. 3, issue 4, 362-380

Abstract: In a multiple criteria decision context facing inevitable and various kinds of information imperfections (uncertainty, imprecision, ambiguity...), it is rather natural to seek additional information. In this paper, we propose a unified procedure for processing additional information in such a context. It is based on the Bayesian model and the adaptation of information revision rules from the uniattribute to the multiattribute context. It leads to prior and posterior global preference relations including the strict preference, the indifference, the incomparability and the weak preference relations. The impact of additional information can then be assessed through the comparison of prior and posterior results.

Keywords: multicriteria analysis; multiattribute decision making; MADM; outranking methods; uncertainty; fuzzy theory; theory of evidence; information imperfections; Bayesian model; additional information; multicriteria decision making; MCDM; weak preference relations; fuzzy logic. (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmcdm:v:3:y:2013:i:4:p:362-380

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