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The use of fuzzy outranking relations in preference modelling

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Date
1992
Dewey
Recherche opérationnelle
Sujet
Preference modelling; fuzzy binary relation; fuzzy logic; fuzzy partition; t-norm; negation
Journal issue
Fuzzy Sets and Systems
Volume
49
Number
1
Publication date
1992
Article pages
33-53
Publisher
Elsevier
DOI
http://dx.doi.org/10.1016/0165-0114(92)90108-G
URI
https://basepub.dauphine.fr/handle/123456789/14590
Collections
  • LAMSADE : Publications
Metadata
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Author
Perny, Patrice
Roy, Bernard
Type
Article accepté pour publication ou publié
Abstract (EN)
This paper deals with preference modelling in the context of Decision Aid. In this framework, conflicting systems of logic, uncertain knowledge, ambiguous positions are always present. In order to tackle this problem, a multiple criteria methodology is proposed, mainly based on fuzzy outranking relations introduced both at one-dimensional and multi-dimensional levels. Some properties of outranking relations are investigated. Such relations are then combined using fuzzy logical connectives to generate relational systems of fuzzy preferences that are shown to be very useful to reflect the vagueness of information in the various preference situations that may be considered in the modelling process.

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