This paper investigates the problem of preference modelling 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.
CITATION STYLE
Ennaceur, A., Elouedi, Z., & Lefevre, É. (2014). Modeling qualitative assessments under the belief function framework. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8764, 171–179. https://doi.org/10.1007/978-3-319-11191-9_19
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