Multi-Criteria Decision Making Method with Belief Preference Relations

Author:

Ennaceur Amel1,Elouedi Zied1,Lefèvre Eric2

Affiliation:

1. University of Tunis, Institut Supérieur de Gestion de Tunis, LARODEC, Tunis, Tunisia

2. Univ. Lille Nord of France, UArtois EA 3926 LGI2A, France

Abstract

In modeling Multi-Criteria Decision Making (MCDM) problem, we usually assume that the decision maker is able to elicitate his preferences with precision and without difficulty. However, in many situations, the expert is unable to provide his assessment with certainty or he is unwilling to quantify his preferences. To deal with such situations, a new MCDM model under uncertainty is introduced. In fact, we focus here on the problem of modeling expert opinions despite the presence of incompleteness and uncertainty in their preference assessments. Besides, our proposed solution suggests to model these preferences qualitatively rather than exact numbers. Therefore, we propose to incorporate belief preference relations into a MCDM method. The expert assessments are then formulated as a belief function problem since this theory is considered as a useful tool to model expert judgments.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analytical Network Process Method Under the Belief Function Framework;AI*IA 2018 – Advances in Artificial Intelligence;2018

2. Evidential Top-k Queries Evaluation: Algorithms and Experiments;Communications in Computer and Information Science;2018

3. Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts;Lecture Notes in Computer Science;2017

4. On Top-K Queries Over Evidential Data;Proceedings of the 19th International Conference on Enterprise Information Systems;2017

5. The BF-TOPSIS Approach for Solving Non-classical MCDM Problems;Belief Functions: Theory and Applications;2016

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