Introducing incomparability in modeling qualitative belief functions

Authors:
Amel Ennaceur;Zied Elouedi;Eric Lefevre
Affiliations:
LARODEC, University of Tunis, Institut Supérieur de Gestion, Tunisia;LARODEC, University of Tunis, Institut Supérieur de Gestion, Tunisia;Univ. Lille Nord of France, France
Venue:
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Year:
2012

Citing 3
Cited 0

The transferable belief model

Artificial Intelligence
Representation of Qualitative User Preference by Quantitative Belief Functions

IEEE Transactions on Knowledge and Data Engineering
A ranking model in uncertain, imprecise and multi-experts contexts: The application of evidence theory

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper investigates a new model for generating belief functions from qualitative preferences. Our approach consists in constructing appropriate quantitative information from incomplete preferences relations. It is able to combine preferences despite the presence of incompleteness and incomparability in their preference orderings. The originality of our model is to provide additional interpretation values to the existing methods based on strict preferences and indifferences only.