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The transferable belief model (TBM) is an elaboration on the Dempster–Shafer theory (DST), which is a mathematical model used to evaluate the probability that a given proposition is true from other propositions which are assigned probabilities. It was developed by who proposed his approach as a response to against Dempster's rule of combination. In contrast to the original DST the TBM propagates the open-world assumption that relaxes the assumption that all possible outcomes are known. Under the open world assumption Dempster's rule of combination is adapted such that there is no normalization. The underlying idea is that the probability mass pertaining to the empty set is taken to indicate an unexpected outcome, e.g. the belief in a hypothesis outside the frame of discernment. This adap

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  • Le modèle des croyances transférables (MCT) est un modèle non probabiliste de « raisonnement incertain » reposant sur la théorie des fonctions de croyance. Il a été proposé et développé par Philippe Smets au début des années 1990 Quand un système réel utilise plusieurs capteurs pour détecter une même information, la combinaison de ces sources d'information permet d'améliorer la détection : on parle alors de fusion d'information. Des cadres formels ont été proposés pour, d'une part, représenter l'imperfection des informations issues de plusieurs capteurs (s'appuyant sur les théories précédemment citées) et, d'autre part, de combiner ces informations afin d'améliorer la détection.Ces cadres formels sont nombreux et l'objet de cet article est de présenter le « Modèle des Croyances Transférables » (MCT) basé sur les et étendant la théorie Dempster-Shafer. (fr)
  • The transferable belief model (TBM) is an elaboration on the Dempster–Shafer theory (DST), which is a mathematical model used to evaluate the probability that a given proposition is true from other propositions which are assigned probabilities. It was developed by who proposed his approach as a response to against Dempster's rule of combination. In contrast to the original DST the TBM propagates the open-world assumption that relaxes the assumption that all possible outcomes are known. Under the open world assumption Dempster's rule of combination is adapted such that there is no normalization. The underlying idea is that the probability mass pertaining to the empty set is taken to indicate an unexpected outcome, e.g. the belief in a hypothesis outside the frame of discernment. This adaptation violates the probabilistic character of the original DST and also Bayesian inference. Therefore, the authors substituted notation such as probability masses and probability update with terms such as degrees of belief and transfer giving rise to the name of the method: The transferable belief model. (en)
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  • The transferable belief model (TBM) is an elaboration on the Dempster–Shafer theory (DST), which is a mathematical model used to evaluate the probability that a given proposition is true from other propositions which are assigned probabilities. It was developed by who proposed his approach as a response to against Dempster's rule of combination. In contrast to the original DST the TBM propagates the open-world assumption that relaxes the assumption that all possible outcomes are known. Under the open world assumption Dempster's rule of combination is adapted such that there is no normalization. The underlying idea is that the probability mass pertaining to the empty set is taken to indicate an unexpected outcome, e.g. the belief in a hypothesis outside the frame of discernment. This adap (en)
  • Le modèle des croyances transférables (MCT) est un modèle non probabiliste de « raisonnement incertain » reposant sur la théorie des fonctions de croyance. Il a été proposé et développé par Philippe Smets au début des années 1990 (fr)
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  • Modèle des croyances transférables (fr)
  • Transferable belief model (en)
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