Two Applications of Inter-Criteria Analysis with Belief Functions

Jean Dezert (1) , Albena Tchamova (2) , Stefka Fidanova (2) , Deqiang Han (3)

1 DTIS, ONERA, Université Paris Saclay [Palaiseau]
2 IICT - Institute of Information and Communication Technologies
3 Institute of integrated automation xi'an jiatong university

In this paper we present two applications of a new Belief Function-based Inter-Criteria Analysis (BF-ICrA) approach for the assessment of redundancy of criteria involved in Multi-Criteria Decision-Making (MCDM) problems. This BF-ICrA method allows to simplify the original MCDM problem by suppressing redundant criteria (if any) and thus diminish the complexity of MCDM problem. This approach is appealing for solving large MCDM problems whose solution requires the fusion of many belief functions. We show how this approach can be used in two distinct fields of applications: The GPS surveying problem, and the car selection problem.

Mots clés: Inter-Criteria Analysis; ICrA-BF; MultiCriteria Decision Making; MCDM; belief functions

Domaines: Sciences de l'ingénieur [physics]; Physique [physics]; Mathématiques [math]; Informatique [cs]

Jean Dezert, Albena Tchamova, Stefka Fidanova, Deqiang Han. Two Applications of Inter-Criteria Analysis with Belief Functions. Cybernetics and Information Technologies, 2020, 20, pp.38 - 59. ⟨10.2478/cait-2020-0039⟩. ⟨hal-03255606⟩