Title
CUT: A Multicriteria Approach for Concavifiable Preferences
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.
Year
DOI
Venue
2014
10.1287/opre.2014.1274
Operations Research
Keywords
Field
DocType
theory,programming,decision analysis,value theory
Decision analysis,Mathematical optimization,Multiple-criteria decision analysis,Multiple criteria,Bellman equation,Value theory,Operations management,Mathematics,Decision maker
Journal
Volume
Issue
ISSN
62
3
0030-364X
Citations 
PageRank 
References 
9
0.51
11
Authors
3
Name
Order
Citations
PageRank
Nikolaos Argyris1121.59
Alec Morton210910.01
José Rui Figueira385259.84