摘要：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 criteriainvolved in Multi-Criteria Decision-Making (MCDM) problems. This BF-ICrA methodallows to simplify the original MCDM problem by suppressing redundant criteria (if any)and thus diminish the complexity of MCDM problem. This approach is appealing forsolving large MCDM problems whose solution requires the fusion of many belieffunctions. We show how this approach can be used in two distinct fields of applications: TheGPS surveying problem, and the car selection problem.
