Multicriteria choice and ranking using decision rules induced from rough approximation of graded preference relations

P. Fortemps, Salvatore Greco, R. Slowinski

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

The approach described in this paper can be applied to support multicriteria choice and ranking of actions when the input preferential information acquired from the decision maker is a graded 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 fuzzy preference graph, which can be exploited by an extended fuzzy net flow score, to build a final ranking.
Original languageEnglish
Title of host publicationRough sets and current trends in computing: proceedings of the 4th international conference
EditorsS. Tsumoto, R. Slowinski, J. Komorowski, J. Grzymala-Busse
Place of PublicationBerlin
PublisherSpringer
Pages510-522
Number of pages13
Volume3066
Edition3066
ISBN (Print)9783540221173
DOIs
Publication statusPublished - Jun 2004

Publication series

NameLecture notes in computer science
PublisherSpringer
Number3066
ISSN (Print)0302-9743

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