Titlebook: Belief Functions: Theory and Applications; 4th International Co Ji?ina Vejnarová,Václav Kratochvíl Conference proceedings 2016 Springer Int

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A New Matrix Addition Rule for Combining Linear Belief FunctionsLinear models, obtained from independent sources, may be combined via Dempster’s rule as linear belief functions. When they are represented as matrices, the combination is reduced to the addition of the matrices in fully swept forms. This paper improves this combination rule by further reducing unnecessary sweeping operations.

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Decision-Making with Belief Interval DistanceIn this paper we propose a new general method for decision-making under uncertainty based on the belief interval distance. We show through several simple illustrative examples how this method works and its ability to provide reasonable results.

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Industrializing Additive Manufacturingreted as a measure of total uncertainty in the BPA. We state a list of five desired properties of entropy for D-S belief functions theory that are motivated by Shannon’s definition of entropy of probability functions, together with the implicit requirement that any definition should be consistent wi

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Rene Bastian Lippert,Roland Lachmayeronflict offered in this article. This approach is based on the idea of decomposition of the initial body of evidence on the set of bodies of evidence by means of some combining rule. Then the (external) conflict of this set of beliefs is estimated. The dependence of change of internal conflict from

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Rene Bastian Lippert,Roland Lachmayer cyber threats. The underlying design concept for our system is that of .: there is not necessarily a definitive or objective means of combining all of the potential evidence, and therefore, how evidence is combined reflects a particular analyst’s point of view. We describe how our design provides f

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Additive Manufacturing on 3D Surfacesayesian basic belief assignment (BBA) related to a qualitative frame of discernement (FoD). Each element of the FoD is a fuzzy set. A new improved mapping method is proposed to get a final potentially non-Bayesian BBA on the FoD. We apply it to assess the stability of protective check dams against t

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