Synthesizing preference information of multiple decision makers in terms of collective decision rules

Salem Chakhar, Ines Saad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Downloads (Pure)

Abstract

We propose an approach based on DRSA (Dominance based Rough Set Approach) method for synthesizing preference information of multiple decision makers in a multicriteria classification problem. The proposed approach takes as input a common information table and generates a set of collective decision rules representing a generalized description of the preference information of the decision makers.
Original languageEnglish
Title of host publicationProceedings of the 5th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF), in conjunction with the 19th European Conference on Artificial Intelligence (ECAI 2010)
PublisherEURO
Pages25-30
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Synthesizing preference information of multiple decision makers in terms of collective decision rules'. Together they form a unique fingerprint.

Cite this