The use of fuzzy outranking relations in preference modelling
Perny, Patrice; Roy, Bernard (1992), The use of fuzzy outranking relations in preference modelling, Fuzzy Sets and Systems, 49, 1, p. 33-53. http://dx.doi.org/10.1016/0165-0114(92)90108-G
Type
Article accepté pour publication ou publiéDate
1992Journal name
Fuzzy Sets and SystemsVolume
49Number
1Publisher
Elsevier
Pages
33-53
Publication identifier
Metadata
Show full item recordAbstract (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.Subjects / Keywords
Preference modelling; fuzzy binary relation; fuzzy logic; fuzzy partition; t-norm; negationRelated items
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