Two Applications of Inter-Criteria Analysis with Belief Functions Article Swipe

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Jean Dezert , Albena Tchamova , Stefka Fidanova , Deqiang Han ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.2478/cait-2020-0039

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.

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Multiple-Criteria Decision Analysis

Redundancy (Engineering)

Computer Science

Artificial Intelligence

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Multiple-criteria decision analysis Redundancy (engineering) Computer science Information fusion Function (biology) Selection (genetic algorithm) Decision problem Management science Operations research Artificial intelligence Algorithm Mathematics Evolutionary biology Biology Economics Operating system

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Type: article
Language: en
Landing Page: https://doi.org/10.2478/cait-2020-0039
PDF: https://www.sciendo.com/pdf/10.2478/cait-2020-0039
OA Status: diamond
References: 36
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DOI: https://doi.org/10.2478/cait-2020-0039

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Title: Two Applications of Inter-Criteria Analysis with Belief Functions

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Language: en

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Publication year: 2020

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Publication date: 2020-09-13

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Authors: Jean Dezert, Albena Tchamova, Stefka Fidanova, Deqiang Han

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Landing page: https://doi.org/10.2478/cait-2020-0039

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Concepts: Multiple-criteria decision analysis, Redundancy (engineering), Computer science, Information fusion, Function (biology), Selection (genetic algorithm), Decision problem, Management science, Operations research, Artificial intelligence, Algorithm, Mathematics, Evolutionary biology, Biology, Economics, Operating system

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