CUT : a multicriteria approach for concavifiable preferences

Tools

Argyris, Nikolaos and Morton, Alec and Figuerira, José Rui (2014) CUT : a multicriteria approach for concavifiable preferences. Operations Research, 62 (3). 633 - 642. ISSN 0030-364X (https://doi.org/10.1287/opre.2014.1274)

[thumbnail of CUT: A multicriteria approach for concavifiable preferences]
Preview
 PDF. Filename: own_final_cut_argyris_morton_figueira.pdf
Preprint
Download (279kB)| Preview

Abstract

We consider the problem of helping a decision maker (DM) choose from a set of multiattributed objects when her preferences are “concavifiable,” i.e. representable by a concave value function. We establish conditions under which preferences or preference intensities are concavifiable. We also derive a characterization for the family of concave value functions compatible with a set of such preference statements expressed by the DM. This can be used to validate dominance relations over discrete sets of alternatives and forms the basis of an interactive procedure. We report on the practical use of this procedure with several DMs for a flat-choice problem and its computational performance on a set of project-portfolio selection problem instances. The use of preference intensities is found to provide significant improvements to the performance of the procedure.

ORCID iDs

Argyris, Nikolaos, Morton, Alec ORCID logoORCID: https://orcid.org/0000-0003-3803-8517 and Figuerira, José Rui;
CORE (COnnecting REpositories)