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Probabilistic Transformations of Belief Functions

  • Conference paper
Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3571))

Abstract

Alternative approaches to the widely known pignistic transformation of belief functions are presented and analyzed. A series of various probabilistic transformations is examined namely from the point of view of their consistency with rules for belief function combination and their consistency with probabilistic upper and lower bounds.A new definition of general probabilistic transformation is introduced and a discussion of their applicability is included.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 2, CZ – 182 07, Prague 8, Czech Republic

    Milan Daniel

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  1. Milan Daniel
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Editor information

Editors and Affiliations

  1. IIIA - CSIC, 08193, Bellaterra, Spain

    Lluís Godo

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© 2005 Springer-Verlag Berlin Heidelberg

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Daniel, M. (2005). Probabilistic Transformations of Belief Functions. In: Godo, L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2005. Lecture Notes in Computer Science(), vol 3571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11518655_46

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  • DOI: https://doi.org/10.1007/11518655_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27326-4

  • Online ISBN: 978-3-540-31888-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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