Results 31 to 40 of about 80,347 (250)
Mathematics, 2020 The Dempster–Shafer evidence theory has been widely applied in the field of information fusion. However, when the collected evidence data are highly conflicting, the Dempster combination rule (DCR) fails to produce intuitive results most of the time.
Dingyi Gan, Bin Yang, Yongchuan Tang
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Weighted Conflict Evidence Combination Method Based on Hellinger Distance and the Belief Entropy
IEEE Access, 2020 In the Dempster-Shafer evidence theory, how to effectively measure the degree of conflict between two bodies of evidence is still an open question. To solve this problem, we propose a weighted conflict evidence combination method based on Hellinger ...
Junwei Li +4 more
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Generalizing Information to the Evolution of Rational Belief
Entropy, 2020 Information theory provides a mathematical foundation to measure uncertainty in belief. Belief is represented by a probability distribution that captures our understanding of an outcome’s plausibility.
Jed A. Duersch, Thomas A. Catanach
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Squaring the Circle: In Quest for Sustainability [PDF]
, 2014 Development has been themain strategy in addressing the problemof sustainability since at least the mid-1980s. The results of this strategy have been mixed, if not disappointing.
Shkliarevsky, Gennady
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Evidence for surprise minimization over value maximization in choice behavior [PDF]
, 2015 Classical economic models are predicated on the idea that the ultimate aim of choice is to maximize utility or reward. In contrast, an alternative perspective highlights the fact that adaptive behavior requires agents' to model their environment and ...
A Clark +36 more
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A Dual Measure of Uncertainty: The Deng Extropy [PDF]
, 2020 The extropy has recently been introduced as the dual concept of entropy. Moreover, in the context of the Dempster–Shafer evidence theory, Deng studied a new measure of discrimination, named the Deng entropy.
Buono, Francesco, Longobardi, Maria
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Sensors, 2018 Quantification of uncertain degree in the Dempster-Shafer evidence theory (DST) framework with belief entropy is still an open issue, even a blank field for the open world assumption.
Yongchuan Tang +2 more
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R\'enyi Bounds on Information Combining
, 2020 Bounds on information combining are entropic inequalities that determine how the information, or entropy, of a set of random variables can change when they are combined in certain prescribed ways. Such bounds play an important role in information theory,
Hirche, Christoph
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Duality between Electric and Magnetic Black Holes [PDF]
, 1995 A number of attempts have recently been made to extend the conjectured $S$ duality of Yang Mills theory to gravity. Central to these speculations has been the belief that electrically and magnetically charged black holes, the solitons of quantum gravity,
A. Font +25 more
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Markov Entropy Decomposition: A Variational Dual for Quantum Belief Propagation [PDF]
Physical Review Letters, 2011 We present a lower bound for the free energy of a quantum many-body system at finite temperature. This lower bound is expressed as a convex optimization problem with linear constraints, and is derived using strong subadditivity of von Neumann entropy and a relaxation of the consistency condition of local density operators. The dual to this minimization
Poulin, David, Hastings, Matthew B.
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