Paper Info
Title
Robust ordinal regression for value functions handling interacting criteria.
Abstract
•We propose a multicriteria ranking method handling interactions between criteria.•Preference model is a set of value functions compatible with preference information.•Value functions include bonus/penalty values for interacting pairs of criteria.•For given preference information, we identify the pairs of interacting criteria.•Robust ordinal regression is used to get necessary & possible preference relations.
Year
DOI
Venue
2014
10.1016/j.ejor.2014.05.022
European Journal of Operational Research
Keywords
Field
DocType
Multiple criteria decision aiding,Value function,Interacting criteria,Robust ordinal regression
Pairwise comparison,Mathematical optimization,Multiple-criteria decision analysis,Finite set,Ranking,Bellman equation,Ordinal regression,Linear programming,Choquet integral,Statistics,Mathematics
Journal
Volume
Issue
ISSN
239
3
0377-2217
Citations 
PageRank 
References 
24
0.99
18
Authors
3
Name
Order
Citations
PageRank
Salvatore Greco13977266.79
Vincent Mousseau280850.52
Roman Slowinski35561516.06