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Hierarchical proportional redistribution for bba approximation

Abstract : Dempster’s rule of combination is commonly used in the field of information fusion when dealing with belief functions. However, it generally requires a high computational cost. To reduce it, a basic belief assignment (bba) approximation is needed. In this paper we present a new bba approximation approach called hierarchical proportional redistribution (HPR) allowing to approximate a bba at any given level of non-specificity. Two examples are given to show how our new HPR works.
Keywords : BELIEF FUNCTION
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Conference papers
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https://hal.inrae.fr/hal-02605963
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Submitted on : Saturday, May 16, 2020 - 11:41:31 AM
Last modification on : Tuesday, September 7, 2021 - 3:54:53 PM

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J. Dezert, D. Han, Z. Liu, J.M. Tacnet. Hierarchical proportional redistribution for bba approximation. 2nd International Conference on Belief Functions, May 2012, Compiègne, France. pp.275-283, ⟨10.1007/978-3-642-29461-7_32⟩. ⟨hal-02605963⟩

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