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Application of Belief Functions to Levee Assessment

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Belief Functions: Theory and Applications (BELIEF 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11069))

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Abstract

We propose the use of Smets and PCR5 rules to merge artificial geophysical and geotechnical data, as part of fluvial levee assessment. It highlights the ability to characterize the presence of interfaces and a geological anomaly.

Supported by the Pays de la Loire Region.

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Author information

Authors and Affiliations

  1. IFSTTAR, GERS, GeoEND, 44344, Bouguenais, France

    Théo Dezert, Sérgio Palma Lopes & Philippe Côte

  2. Cerema Direction territoriale Normandie-Centre, 41000, Blois, France

    Théo Dezert & Yannick Fargier

  3. Univ Lyon, IFSTTAR, GERS, RRO, 69675, Bron, France

    Yannick Fargier

Authors
  1. Théo Dezert
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  2. Yannick Fargier
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  3. Sérgio Palma Lopes
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  4. Philippe Côte
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Corresponding authors

Correspondence to Théo Dezert , Yannick Fargier , Sérgio Palma Lopes or Philippe Côte .

Editor information

Editors and Affiliations

  1. University of Technology of Compiègne, Compiègne Cedex, France

    Sébastien Destercke

  2. UMR CNRS 7253 Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France

    Thierry Denoeux

  3. Department of Computing and Communication, Oxford Brookes University, Oxford, United Kingdom

    Fabio Cuzzolin

  4. Université de Rennes 1, Lannion Cedex, France

    Arnaud Martin

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Dezert, T., Fargier, Y., Palma Lopes, S., Côte, P. (2018). Application of Belief Functions to Levee Assessment. In: Destercke, S., Denoeux, T., Cuzzolin, F., Martin, A. (eds) Belief Functions: Theory and Applications. BELIEF 2018. Lecture Notes in Computer Science(), vol 11069. Springer, Cham. https://doi.org/10.1007/978-3-319-99383-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-99383-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99382-9

  • Online ISBN: 978-3-319-99383-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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