Paper Info
Title
Aggregation of Preferences on Criteria Importance Expressed on Various Subsets by Several Decision Makers.
Abstract
We are interested in the aggregation of preference information provided by several decision makers regarding the relative importance of criteria. When a large number of decision makers are involved, they have specific areas of expertise and express their preferences on possibly different subsets of criteria. The standard aggregation methods do not apply to this situation where the preference information of the decision makers have different support. We consider four possible types of preference information provided by the decision makers: binary preference relations comparing the relative importance of criteria, quaternary relations comparing differences of relative importance between pairs of criteria, classification of the difference of importance between any two criteria in predefined categories, and numerical values of the criteria weights. In the three first cases, we use an extension of the relational analysis.
Year
DOI
Venue
2017
10.1007/978-3-319-67582-4_27
Lecture Notes in Artificial Intelligence
Field
DocType
Volume
Computer science,Grey relational analysis,Artificial intelligence,Machine learning
Conference
10564
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
10
1
Name
Order
Citations
PageRank
Christophe Labreuche170965.78