Results 301 to 310 of about 16,108,721 (331)

On Decombination of Belief Function

2019 22th International Conference on Information Fusion (FUSION), 2019
Deqiang Han, Yi Yang 0008, Jean Dezert
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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   +2 more sources

Belief functions with nonstandard values

1997
The notions of basic probability assignment and belief function, playing the basic role in the Dempster-Shafer model of uncertainty quantification and processing often called Dempster-Shafer theory, are generalized in such a way that their values are not numbers from the unit interval of reals, but rather infinite sequences of real numbers including ...
openaire   +1 more source

Probability of deductibility and belief functions

2005
We present an interpretation of Dempster-Shafer theory based on the probability of deducibility. We present two forms of revision (conditioning) that lead to the geometrical rule of conditioning and to Dempster rule of conditioning, respectively.
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Application of belief functions to medical image segmentation: A review

Information Fusion, 2023
Su Ruan, Thierry Denoeux, Ling Huang
exaly  

Spatial data analysis and application of evidential belief functions to shallow landslide susceptibility mapping at Mt. Umyeon, Seoul, Korea

Bulletin of Engineering Geology and the Environment, 2017
A. Pradhan, Yun-Tae Kim
semanticscholar   +1 more source

The Internal Conflict of a Belief Function

2012
In this paper we define and derive an internal conflict of a belief function We decompose the belief function in question into a set of generalized simple support functions (GSSFs). Removing the single GSSF supporting the empty set we obtain the base of the belief function as the remaining GSSFs.
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Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective

BELIEF, 2016
R. Jirousek, Prakash P. Shenoy
semanticscholar   +1 more source

Conditional belief functions as lower envelopes of conditional probabilities in a finite setting

Information Sciences, 2016
G. Coletti, Davide Petturiti, B. Vantaggi   +2 more
semanticscholar   +1 more source

Evaluation of Probability Transformations of Belief Functions for Decision Making

IEEE Transactions on Systems, Man & Cybernetics. Systems, 2016
Deqiang Han, J. Dezert, Zhansheng Duan
semanticscholar   +1 more source