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Calculating DempsterShafer Plausibility
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 1991
"... A sucient condition is developed for the equality of the plausibility and commonality measures of the DempsterShafer belief calculus. When the condition is met, as it is in many applications, an ecient method to calculate relative plausibility is available. In particular, the method can be used ..."
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Cited by 12 (1 self)
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A sucient condition is developed for the equality of the plausibility and commonality measures of the DempsterShafer belief calculus. When the condition is met, as it is in many applications, an ecient method to calculate relative plausibility is available. In particular, the method can
Algorithms for dempstershafer theory
 Algorithms for Uncertainty and Defeasible Reasoning
, 2000
"... The method of reasoning with uncertain information known as DempsterShafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76], and further publications e.g., [Shafer, 81; 90] ..."
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Cited by 20 (3 self)
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The method of reasoning with uncertain information known as DempsterShafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76], and further publications e.g., [Shafer, 81; 90
Qualitative DempsterShafer Theory
, 1993
"... This paper introduces the idea of using the DempsterShafer theory of evidence with qualitative values. DempsterShafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special advantages in its treatment of ambiguous data and t ..."
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Cited by 6 (3 self)
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This paper introduces the idea of using the DempsterShafer theory of evidence with qualitative values. DempsterShafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special advantages in its treatment of ambiguous data
DempsterShafer for Anomaly Detection
"... Abstract—In this paper, we implement an anomaly detection system using the DempsterShafer method. Using two standard benchmark problems we show that by combining multiple signals it is possible to achieve better results than by using a single signal. We further show that by applying this approach t ..."
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Abstract—In this paper, we implement an anomaly detection system using the DempsterShafer method. Using two standard benchmark problems we show that by combining multiple signals it is possible to achieve better results than by using a single signal. We further show that by applying this approach
DempsterShafer theory of evidence
, 1994
"... comprehensive comparison between generalized incidence calculus and the ..."
Combination of evidence in DempsterShafer theory
, 2002
"... DempsterShafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require a ..."
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Cited by 79 (2 self)
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DempsterShafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require
A defect in DempsterShafer theory
 InProceedings of the Tenth Conference on Uncertainty in Arti cial Intelligence
, 1994
"... By analyzing the relationships among chance, weight of evidence and degree ofbelief, it is shown that the assertion \chances are special cases of belief functions " and the assertion \Dempster's rule can be used to combine belief functions based on distinct bodies of evidence " togeth ..."
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Cited by 28 (20 self)
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; together lead to an inconsistency in DempsterShafer theory. To solve this problem, some fundamental postulates of the theory must be rejected. A new approach for uncertainty management is introduced, which shares many intuitive ideas with DS theory, while avoiding this problem. 1
Updating the Evidence in the DempsterShafer Theory
 Informatica
, 1999
"... Abstract. An algorithm for updating the evidence in the Dempster–Shafer theory is presented. The algorithm is based on an idea of indices. These indices are used to code the process of reasoning under uncertainty (the combination of evidence)using the DempsterShafer theory. The algorithm allows to ..."
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Cited by 1 (0 self)
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Abstract. An algorithm for updating the evidence in the Dempster–Shafer theory is presented. The algorithm is based on an idea of indices. These indices are used to code the process of reasoning under uncertainty (the combination of evidence)using the DempsterShafer theory. The algorithm allows
DEMPSTERSHAFER INFERENCE WITH WEAK BELIEFS
"... Beliefs specified for predicting an unobserved realization of pivotal variables in the context of the fiducial and DempsterShafer (DS) inference can be weakened for credible inference. We consider predictive random sets for predicting an unobserved random sample from a known distribution, e.g., t ..."
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Cited by 15 (11 self)
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Beliefs specified for predicting an unobserved realization of pivotal variables in the context of the fiducial and DempsterShafer (DS) inference can be weakened for credible inference. We consider predictive random sets for predicting an unobserved random sample from a known distribution, e
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