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2008-01-01 - Article/Dans un journal avec peer-review - Anglais - 18 page(s)

Fortemps Philippe , Greco S., Slowinski R., "Multicriteria decision support using rules that represent rough-graded preference relations" in European Journal of Operational Research, 188, 1, 206-223

  • Edition : Elsevier Science, Amsterdam (The Netherlands)
  • Codes CREF : Intelligence artificielle (DI1180), Modèles mathématiques d'aide à la décision (DI1151)
  • Unités de recherche UMONS : Mathématique et Recherche opérationnelle (F151)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech)
Texte intégral :

Abstract(s) :

(Anglais) The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a graded fuzzy preference relation, which can be exploited by weighted-fuzzy net flow score or lexicographic-fuzzy net flow score procedure to obtain a final recommendation in terms of the best choice or of the ranking.

Identifiants :
  • DOI : 10.1016/j.ejor.2007.03.036