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Additive conjoint measurement with ordered categories

Marchant, Thierry; Bouyssou, Denis (2010), Additive conjoint measurement with ordered categories, European Journal of Operational Research, 203, 1, p. 195-204. http://dx.doi.org/10.1016/j.ejor.2009.07.032

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Additive_sorting_ejor.pdf (423.0Kb)
Type
Article accepté pour publication ou publié
Date
2010
Journal name
European Journal of Operational Research
Volume
203
Number
1
Publisher
Elsevier
Pages
195-204
Publication identifier
http://dx.doi.org/10.1016/j.ejor.2009.07.032
Metadata
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Author(s)
Marchant, Thierry
Bouyssou, Denis cc
Abstract (EN)
Conjoint measurement studies binary relations defined on product sets and investigates the existence and uniqueness of, usually additive, numerical representations of such relations. It has proved to be quite a powerful tool to analyze and compare MCDM techniques designed to build a preference relation between multiattributed alternatives and has been an inspiring guide to many assessment protocols. The aim of this paper is to show that additive representations can be obtained on the basis of much poorer information than a preference relation. We will suppose here that the decision maker only specifies for each object if he/she finds it “attractive” (better than the status quo), “unattractive” (worse than the status quo) or “neutral” (equivalent to the status quo). We show how to build an additive representation, with tight uniqueness properties, using such an ordered partition of the set of objects. On a theoretical level, this paper shows that classical results of additive conjoint measurement can be extended to cover the case of ordered partitions and wishes to be a contribution to the growing literature on the foundations of sorting techniques in MCDM. On a more practical level, our results suggest an assessment strategy of an additive model on the basis of an ordered partition.
Subjects / Keywords
Additive conjoint measurement; Multiple criteria analysis; Sorting; Ordered categories

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