ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements

Géraldine Bous, Philippe Fortemps, François Glineur and Marc Pirlot

European Journal of Operational Research, 2010, vol. 206, issue 2, 435-444

Abstract: In multiple criteria decision aiding, it is common to use methods that are capable of automatically extracting a decision or evaluation model from partial information provided by the decision maker about a preference structure. In general, there is more than one possible model, leading to an indetermination which is dealt with sometimes arbitrarily in existing methods. This paper aims at filling this theoretical gap: we present a novel method, based on the computation of the analytic center of a polyhedron, for the selection of additive value functions that are compatible with holistic assessments of preferences. We demonstrate the most important characteristics of this technique with an experimental and comparative study of several existing methods belonging to the UTA family.

Keywords: Multiple; criteria; decision; analysis; Learning; based; procedure; Aggregation-disaggregation; Analytic; center; of; a; polyhedron; UTA; method; Additive; utility; model (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (30)

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Working Paper: ACUTA: a novel method for eliciting additive value functions on the basis of holistic preference statements (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:206:y:2010:i:2:p:435-444

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