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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
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
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
The DempsterShafer calculus for statisticians
 International Journal of Approximate Reasoning
, 2007
"... The DempsterShafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p, q, r) where p is the probability “for ” the assertion, q is the probability “against” the assertion, and r is the probability of “ ..."
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Cited by 46 (1 self)
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The DempsterShafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p, q, r) where p is the probability “for ” the assertion, q is the probability “against” the assertion, and r is the probability
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
DempsterShafer theory of evidence
, 1994
"... comprehensive comparison between generalized incidence calculus and the ..."
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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be used to calculate the relative plausibility of atomic hypotheses and, therefore, it can be used to nd the choice that maximizes this measure. The computation is ecient enough to make DempsterShafer practical in some domains where computational complexity would otherwise counterindicate its use
Index Terms—Multisensor fusion, DempsterShafer,
"... Abstract—A multisensor data fusion is proposed and discussed. The proposed fusion model uses a DempsterShafer technique to combine pieces of sensor evidence about attacks perceived on a population of computer networks. The combined beliefs obtained using the DempsterShafer technique are much more ..."
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Abstract—A multisensor data fusion is proposed and discussed. The proposed fusion model uses a DempsterShafer technique to combine pieces of sensor evidence about attacks perceived on a population of computer networks. The combined beliefs obtained using the DempsterShafer technique are much more
Face Recognition in Video using DempsterShafer Theory
 ICASSP 2004
"... We propose a new approach based on the DempsterShafer theory to increase identification performance of character faces in real films. We use a framebased approach where faces are detected and identified independently in each frame without taking into account any temporal information. Statistical e ..."
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Cited by 2 (2 self)
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We propose a new approach based on the DempsterShafer theory to increase identification performance of character faces in real films. We use a framebased approach where faces are detected and identified independently in each frame without taking into account any temporal information. Statistical
Information Retrieval using DempsterShafer Theory
"... Information retrieval model focuses on the problem of retrieving documents relevant to a user’s information need represented as a query. One of the major difficulty of information retrieval is to find the relevance of documents with respect to the user query or information need. The choice of simila ..."
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Cited by 1 (0 self)
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query and a document is evaluated using cosine similarity between them. However, vector space model does not give reasonable results in terms of precision and recall value. Information retrieval model using DempsterShafer theory also known as evidence theory is used in this paper. In this model, each
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