Results 31 to 40 of about 7,149 (239)
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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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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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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Ordinal relative belief entropy
, 2021 Specially customised Entropies are widely applied in measuring the degree of uncertainties existing in the frame of discernment. However, all of these entropies regard the frame as a whole that has already been determined which dose not conform to actual situations.
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A New Uncertainty Measure in Belief Entropy Framework [PDF]
International Journal of Advanced Computer Science and Applications, 2018 Belief entropy, which represents the uncertainty measure between several pieces of evidence in the Dempster-Shafer framework, is attracting increasing interest in research. It has been used in many applications and is mainly based on the theory of evidence. To quantify uncertainty, several measures have been proposed in the literature.
Moise Digrais Mambe +3 more
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Formal Analysis of Information Flow Using Min-Entropy and Belief Min-Entropy [PDF]
, 2013 Information flow analysis plays a vital role in obtaining quantitative bounds on information leakage due to external attacks. Traditionally, information flow analysis is done using paper-and-pencil based proofs or computer simulations based on the Shannon entropy and mutual information.
Ghassen Helali +2 more
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An Improved Deng Entropy and Its Application in Pattern Recognition
IEEE Access, 2019 How to manage the uncertainty of the basic probability assignment accurately and efficiently is of significance and also an open issue. Plenty of functions have been established to cover the issue, especially Deng entropy recently.
Huizi Cui +3 more
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Computing the decomposable entropy of belief-function graphical models
International Journal of Approximate Reasoning, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radim Jiroušek +2 more
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Elephants Don’t Pack Groceries: Robot Task Planning for Low Entropy Belief States [PDF]
IEEE Robotics and Automation Letters, 2022 Recent advances in computational perception have significantly improved the ability of autonomous robots to perform state estimation with low entropy. Such advances motivate a reconsideration of robot decision-making under uncertainty. Current approaches to solving sequential decision-making problems model states as inhabiting the extremes of the ...
Alphonsus Adu-Bredu +3 more
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