A Similarity Measure between Basic Belief Assignments

Maria Rifqi · Bernadette Bouchon‐Meunier

38 citations0/0 files storedInternational Conference on Information Fusion (FUSION)

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Multi-Criteria Decision Making Rough Sets and Fuzzy Logic Fuzzy and Soft Set Theory

Abstract

A similarity measure between the focal elements used on a distance function of two basic belief assignments in the theory of evidence is presented, making way for the application of classical classification algorithms in this field. The properties of this measure are particular to its context, considering the characteristics of the focal elements, their relationship with each other and their proximity to the vacuous belief function that represents the state of total ignorance

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1977Features of similarity.2001A new distance between two bodies of evidence 2004Combining belief functions based on distance of evidence 1993Approximations for efficient computation in the theory of evidence 1998Uncertainty Management in Information Systems: From Needs to Solutions 1993On nonspecific evidence 2005The Role of the DS/AHP in Identifying Inter-Group Alliances and Majority Rule Within Group Decision Making

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2013Information-based dissimilarity assessment in Dempster–Shafer theory

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