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

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P. Hortelano,M. J. Faus,F. Sanchez-Medinad by the lower and upper expectations associated with the lower and upper probabilities associated with a belief measure. This generalised setting permits a more cautious appreciation of the information content of a training set. We analytically derive the Karush-Kuhn-Tucker conditions for the gener

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https://doi.org/10.1007/978-3-642-68195-0including Yager’s, Dubois’, and disjunctive combination, starting from the case of binary frames of discernment. Believability measures for unnormalised belief functions are also considered. A research programme to complete this analysis is outlined.

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Challenges of the Ultimate Messengers,ght delay) induced by airspace congestion through an appropriated FLA taking account of uncertainties such as weather condition, flight velocity, flight departure time, etc. Among these uncertainties, we assume that the flight departure time, which follows a Mixture Gaussian Distribution, is certain

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https://doi.org/10.1007/978-3-030-45402-9unctions to model uncertainties has been proposed for smart cars network. Since the origin of data coming from other cars is unknown, this algorithm uses the idempotent cautious operator in order to prevent data incest. This operator has been proved to be efficient in the case of transient errors an

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