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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb002...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
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Fast algorithms for Dempster-Shafer theory

Authors: Kennes, Robert; Smets, Philippe;

Fast algorithms for Dempster-Shafer theory

Abstract

The runtime of the usual algorithms computing the transformation of a basic belief assignment into its associated belief function and conversely is an exponential function of the cardinality of (the domain of) the basic belief assignment. In this paper, new algorithms with a polynomial runtime are presented. These algorithms appear to be optimal in the class of the so-called M-algorithms.

Country
Belgium
Related Organizations
Keywords

Computational efficiency, Informatique générale, Möbius transformation, Informatique mathématique, Dempster-Shafer theory, Graph

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
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