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Conflict Management in Information Fusion with Belief Functions

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Information Quality in Information Fusion and Decision Making

Part of the book series: Information Fusion and Data Science ((IFDS))

Abstract

In information fusion, the conflict is an important concept. Indeed, combining several imperfect experts or sources allows conflict. In the theory of belief functions, this notion has been discussed a lot. The mass appearing on the empty set during the conjunctive combination rule is generally considered as conflict, but that is not really a conflict. Some measures of conflict have been proposed, and some approaches have been proposed in order to manage this conflict or to decide with conflicting mass functions. We recall in this chapter some of them, and we propose a discussion to consider the conflict in information fusion with the theory of belief functions.

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Notes

  1. 1.

    This notation is introduced by [8] and D come from the Dedeking lattice.

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Author information

Authors and Affiliations

  1. DRUID, Univ Rennes, CNRS, IRISA, Lannion, France

    Arnaud Martin

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  1. Arnaud Martin
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Correspondence to Arnaud Martin .

Editor information

Editors and Affiliations

  1. IMT-Atlantique, Brest, France

    Éloi Bossé

  2. The State University of New York at Buffalo, Buffalo, NY, USA

    Galina L. Rogova

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Martin, A. (2019). Conflict Management in Information Fusion with Belief Functions. In: Bossé, É., Rogova, G. (eds) Information Quality in Information Fusion and Decision Making. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-03643-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-03643-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03642-3

  • Online ISBN: 978-3-030-03643-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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