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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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On observability of Renyi's entropy [PDF]
, 2003 Despite recent claims we argue that Renyi's entropy is an observable quantity. It is shown that, contrary to popular belief, the reported domain of instability for Renyi entropies has zero measure (Bhattacharyya measure).
A. Bhattacharyya +37 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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Sensors, 2023 In IoT environments, voluminous amounts of data are produced every single second. Due to multiple factors, these data are prone to various imperfections, they could be uncertain, conflicting, or even incorrect leading to wrong decisions. Multisensor data
Nour El Imane Hamda +2 more
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Entropy and Belief Networks [PDF]
, 1992 The product expansion of conditional probabilities for belief nets is not maximum entropy. This appears to deny a desirable kind of assurance for the model. However, a kind of guarantee that is almost as strong as maximum entropy can be derived. Surprisingly, a variant model also exhibits the guarantee, and for many cases obtains a higher performance ...
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Combination of interval-valued belief structures based on belief entropy
, 2020 Simply using MDPI as a template.
Qin, Miao, Tang, Yongchuan
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