Multicriteria decision support using rules that represent rough-graded preference relations

P. Fortemps, Salvatore Greco, R. Slowinski

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)206-223
Number of pages18
JournalEuropean Journal of Operational Research
Volume188
Issue number1
DOIs
Publication statusPublished - 1 Jul 2008

Fingerprint

Dive into the research topics of 'Multicriteria decision support using rules that represent rough-graded preference relations'. Together they form a unique fingerprint.

Cite this