The combination of belief: When and how fast?

Nic wilson

doi:10.1016/0888-613X(92)90031-T

The combination of belief: When and how fast?

Nic wilson

Queen Mary University of London

Research output: Contribution to journal › Article › peer-review

Abstract

The cornerstone of Dempster-Shafer therory is Dempster's rule and to use the theory it is essential to know when the rule is justified. This paper discusses, and attempts to clarify, this issue. It is also argued that Bayesian belief functions do not fit well into the theory. It is suggested that belief functions in Dempster-Shafer theory can be usefully viewed in terms of families of additive probability functions. A Monte-Carlo algorithm is described which can be used to greatly improve the complexity of the calculation of combined belief.

Original language	English
Pages (from-to)	377-388
Number of pages	12
Journal	International Journal of Approximate Reasoning
Volume	6
Issue number	3
DOIs	https://doi.org/10.1016/0888-613X(92)90031-T
Publication status	Published - May 1992
Externally published	Yes

Keywords

Bayesian belief functions
Dempster's rule
Dempster-Shafer theory
lower probability
Monte-Carlo algorithms

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10.1016/0888-613X(92)90031-T

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KW - Dempster's rule

KW - Dempster-Shafer theory

KW - lower probability

KW - Monte-Carlo algorithms

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IS - 3

ER -

The combination of belief: When and how fast?

Abstract

Keywords

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