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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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Belief functions with nonstandard values
1997The 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 ...
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Probability of deductibility and belief functions
2005We 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, 2023Su Ruan, Thierry Denoeux, Ling Huang
exaly
The Internal Conflict of a Belief Function
2012In 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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A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion
Information Sciences, 2020Fuyuan Xiao
exaly
Modeling Belief Propensity Degree: Measures of Evenness and Diversity of Belief Functions
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023Yong Deng, Éloi Bossé, Qianli Zhou
exaly
Analyzing the monotonicity of belief interval based uncertainty measures in belief function theory
International Journal of Intelligent Systems, 2018Xinyang Deng
exaly
Analyzing the combination of conflicting belief functions
Information Fusion, 2007Philippe Smets
exaly
Refined modeling of sensor reliability in the belief function framework using contextual discounting
Information Fusion, 2008Benjamin Quost +2 more
exaly

