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Propagation of Gaussian belief functions
1996A 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.
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A new distance-based total uncertainty measure in the theory of belief functions
Knowledge-Based Systems, 2016Deqiang Han
exaly
On Generalized Fuzzy Belief Functions in Infinite Spaces
IEEE Transactions on Fuzzy Systems, 2009Wei-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, 2018Deqiang Han, Jean Dezert
exaly
On properties of a new decomposable entropy of Dempster-Shafer belief functions
International Journal of Approximate Reasoning, 2020Radim Jirousek, Prakash P Shenoy
exaly
Reasoning with belief functions: An analysis of compatibility
International Journal of Approximate Reasoning, 1990Judea Pearl
exaly

