Modeling Qualitative Assessments under the Belief Function Framework
Résumé
This paper investigates the problem of preference modeling under the belief function framework. In this work, we introduce a new model that is able to generate quantitative information from qualitative assessments. Therefore, we suggest to represent the decision maker preferences in different levels where the indifference, strict preference, weak preference and incompleteness relations are considered. Introducing the weak preference relation separates the preference area from the indifference one by inserting an intermediate zone.
Domaines
Intelligence artificielle [cs.AI]Origine | Fichiers produits par l'(les) auteur(s) |
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