Private or Common Criteria in a Multi-criteria Group Decision Support System: An Experiment

Pascale Zaraté (1, 2) , Marc Kilgour (3) , Keith Hippel (4)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 UT Capitole - Université Toulouse Capitole
3 WLU - Wilfrid Laurier University
4 University of Waterloo [Waterloo]

Because collective decision processes are central to the management function of most organizations, it is important to understand them better and to improve them if possible. One common view of group decision processes is that they should offer participants the opportunity to confront and resolve the differences in their points of view. New cognitive and technical tools may help to facilitate the sharing of individuals’ reasoning and preferences, but only if they do not require participants to reveal information that they wish to keep private, perhaps for strategic or personal reasons. The aim of this study is to test experimentally one such approach, contained in the Group Decision Support System, GRUS, which allows decision makers to use a multi-criteria approach to problem structuring that can involve both public (shared) and private criteria.

Mots clés: GDSS; Multi-criteria group decision making; Private criteria; Public criteria

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Pascale Zaraté, Marc Kilgour, Keith Hippel. Private or Common Criteria in a Multi-criteria Group Decision Support System: An Experiment. International Conference on Collaboration Technologies (CRIWG 2016), Sep 2016, Kanazawa, Japan. pp. 1-12. ⟨hal-01475022⟩