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Implementing belief function computations

โœ Scribed by Rolf Haenni; Norbert Lehmann


Book ID
102279540
Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
168 KB
Volume
18
Category
Article
ISSN
0884-8173

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โœฆ Synopsis


This article discusses several implementation aspects for Dempster-Shafer belief functions. The main objective is to propose an appropriate representation of mass functions and efficient data structures and algorithms for the two basic operations of combination and marginalization.


๐Ÿ“œ SIMILAR VOLUMES


Resource bounded and anytime approximati
โœ Rolf Haenni; Norbert Lehmann ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 441 KB

This paper proposes a new approximation method for Dempster-Shafer belief functions. The method is based on a new concept of incomplete belief potentials. It allows to compute simultaneously lower and upper bounds for belief and plausibility. Furthermore, it can be used for a resource-bounded propag

Computing beliefs
โœ Aleksander, Igor ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Nature Publishing Group ๐ŸŒ English โš– 275 KB