Modeling expert preference using the qualitative belief function framework

This paper investigates the problem of preference modeling under multi-criteria decision making methods in which some assessments cannot be provided in the pair-wise comparison process. Therefore, we introduce a new method that will be able to elicitate preferences in an uncertain environment, where the expert may express incomplete and incomparable ones. Indeed, we suggest to transform these qualitative assessments into quantitative information based on belief function framework. Then, in order to illustrate our approach, we propose to compare our method to the existing approaches.