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The transferable belief model and random sets

✍ Scribed by Philippe Smets

Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
468 KB
Volume
7
Category
Article
ISSN
0884-8173

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✦ Synopsis

Models based on belief functions have been often assimilated to models based on random sets. We show that this analogy does not resist when the conditioning process is considered.

πŸ“œ SIMILAR VOLUMES

Application of the transferable belief m
Application of the transferable belief model to diagnostic problems
✍ Philippe Smets πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 180 KB πŸ‘ 2 views

## Í give a short presentation of the most relevant elements of the transferable belief model and its use for problems related to the diagnostic process. These examples illustrate the use of the transferable belief model and, in particular, of the Generalized Bayesian Theorem.

Data association in multi-target detecti
Data association in multi-target detection using the transferable belief model
✍ AndrΓ© Ayoun; Philippe Smets πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 139 KB

In the transferable belief model, a model for the quantified representation of beliefs, some masses can be allocated to the empty set. It reflects the conflict between the sources of information. This quantified conflict can be used in order to solve the problem of data association in a multi-target