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A New Matrix Addition Rule for Combining Linear Belief Functions

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Belief Functions: Theory and Applications (BELIEF 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9861))

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Abstract

Linear models, obtained from independent sources, may be combined via Dempster’s rule as linear belief functions. When they are represented as matrices, the combination is reduced to the addition of the matrices in fully swept forms. This paper improves this combination rule by further reducing unnecessary sweeping operations.

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References

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Author information

Authors and Affiliations

  1. The University of Akron, Akron, USA

    Liping Liu

Authors
  1. Liping Liu
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Correspondence to Liping Liu .

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Editors and Affiliations

  1. Czech Academy of Sciences, nstitute of Information Theory and Automation, Prague , Czech Republic

    Jiřina Vejnarová

  2. Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czech Republic

    Václav Kratochvíl

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Liu, L. (2016). A New Matrix Addition Rule for Combining Linear Belief Functions. In: Vejnarová, J., Kratochvíl, V. (eds) Belief Functions: Theory and Applications. BELIEF 2016. Lecture Notes in Computer Science(), vol 9861. Springer, Cham. https://doi.org/10.1007/978-3-319-45559-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-45559-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45558-7

  • Online ISBN: 978-3-319-45559-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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