DocumentCode
3625791
Title
Decomposing Preference Relations
Author
Daniel Gomez;Javier Montero;Javier Yanez
Author_Institution
School of Statistics, Complutense University, Madrid, 28040 Spain. phone: +34 91 394 3994
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
In this paper we address the problem of inconsistency in preference relations, pointing out the relevance of a meaningful representation in order to help decision maker to capture such inconsistencies. Dimension theory framework, despite its computational complexity, is considered here, pursuing in principle a decomposition of arbitrary preference relations in terms of linear orderings of alternatives. But we shall then stress that consistency should not be necessarily associated to a linear ordering. In this way, alternative decompositions of a preference relation can be proposed to decision maker, allowing an effective search for a useful representation of alternatives in terms of possible criteria. Such decompositions of our preference relations will then become the basis of a future decision aid model, always with the restricted aim of allowing the decision maker a better understanding of the problem. Inconsistencies may be not simply suppressed but understood, since they may contain relevant information.
Keywords
"Decision making","Mathematics","Computational complexity","Stress","Mathematical analysis","Multidimensional systems","Fuzzy sets","Statistics","Context modeling","Legged locomotion"
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
ISSN
1098-7584
Print_ISBN
1-4244-1209-9
Type
conf
DOI
10.1109/FUZZY.2007.4295546
Filename
4295546
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