Discriminating thresholds as a tool to cope with imperfect knowledge in multiple criteria decision aiding: Theoretical results and practical issues

Bernard Roy (1) , José R. Figueira (2, 3) , Juscelino Almeida-Dias (1, 2)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
2 CEG - IST - Center for Management Studies, Instituto Superior Técnico [Porto Salvo]
3 ORCHIDS - Operations research for Complex HybrId Decision Sytems

This article deals with preference modeling. It concerns the concepts of discriminating thresholds as a tool to cope with the imperfect nature of knowledge in decision aiding. Such imperfect knowledge is related with the definition of each criterion as well as with the data we have to take into account. On the one hand, we shall present a useful theoretical synthesis for the analyst in his/her decision aiding activity, and, on the other hand, we shall provide some practical instructions concerning the approach to follow for assigning the values to these discriminating thresholds.

Mots clés: Decision aiding process; Preference modeling; Imperfect Knowledge; Pseudo-criteria; Multi-criteria Analysis; Decision Support.; Decision Support

Domaines: Recherche opérationnelle [math.OC]; Intelligence artificielle [cs.AI]

Bernard Roy, José R. Figueira, Juscelino Almeida-Dias. Discriminating thresholds as a tool to cope with imperfect knowledge in multiple criteria decision aiding: Theoretical results and practical issues. 2012. ⟨hal-00874377⟩