Titlebook: Belief Functions: Theory and Applications; 5th International Co Sébastien Destercke,Thierry Denoeux,Arnaud Martin Conference proceedings 20

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Intentional

A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory,operty that characterizes Shannon’s definitions of entropy and conditional entropy for discrete probability distributions. None of the existing definitions of entropy for belief functions in the D-S theory satisfy such a compound distributions property. We describe some important properties of our d

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https://doi.org/10.1007/978-3-642-68195-0ation for finitely defined belief functions and belief functions defined on reals. In addition, for such belief functions we consider the Wasserstein metric and study its connections to disjunctions of belief functions.

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Cumulus

The Kantorovich Problem and Wasserstein Metric in the Theory of Belief Functions,ation for finitely defined belief functions and belief functions defined on reals. In addition, for such belief functions we consider the Wasserstein metric and study its connections to disjunctions of belief functions.

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Conference proceedings 2018n theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles..

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Aircraft wake vortices in the atmosphere,n of the uncertainty in the constraint by adding the possibility to favor crisp decision following the inherent structure of the dataset. The advantages of the proposed approach are illustrated using both a synthetic dataset and a real genomics dataset.

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