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Propagation of Gaussian belief functions

1996
A Gaussian belief function (GBF) can be intuitively described as a Gaussian distribution over a hyperplane, whose parallel sub-hyperplanes are the focal elements. It includes as special cases non-probabilistic linear equations, statistical observations, multivariate Gaussian distributions, and vacuous belief functions.
openaire   +1 more source

The measurement of relations on belief functions based on the Kantorovich problem and the Wasserstein metric

International Journal of Approximate Reasoning, 2021
Andrey G Bronevich, Igor Rozenberg
exaly  

The Functions of Beliefs

2017
Helenrose Fives, Michelle M. Buehl
openaire   +1 more source

On Generalized Fuzzy Belief Functions in Infinite Spaces

IEEE Transactions on Fuzzy Systems, 2009
Wei-Zhi Wu, Yee Leung, Ju-Sheng Mi
exaly  

Belief Interval-Based Distance Measures in the Theory of Belief Functions

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
Deqiang Han, Jean Dezert
exaly  

On properties of a new decomposable entropy of Dempster-Shafer belief functions

International Journal of Approximate Reasoning, 2020
Radim Jirousek, Prakash P Shenoy
exaly  

Reasoning with belief functions: An analysis of compatibility

International Journal of Approximate Reasoning, 1990
Judea Pearl
exaly  

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