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Fractional Deng Entropy and Extropy and Some Applications [PDF]
Entropy, 2021 Deng entropy and extropy are two measures useful in the Dempster–Shafer evidence theory (DST) to study uncertainty, following the idea that extropy is the dual concept of entropy.
Mohammad Reza Kazemi +2 more
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A New Belief Entropy Based on Deng Entropy [PDF]
Entropy, 2019 For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Daijun Wei
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Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis [PDF]
Entropy, 2020 Failure mode and effects analysis (FMEA), as a commonly used risk management method, has been extensively applied to the engineering domain. A vital parameter in FMEA is the risk priority number (RPN), which is the product of occurrence (O), severity (S),
Haixia Zheng +2 more
exaly +4 more sources
An Improved Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Deng Entropy and Belief Interval [PDF]
Entropy, 2019 It is still an open issue to measure uncertainty of the basic probability assignment function under Dempster-Shafer theory framework, which is the foundation and preliminary work for conflict degree measurement and combination of evidences.
Liguo Fei, Duofa Ji, Xiaodong Yang
exaly +4 more sources
A Deng Entropy-Based Heuristic Method to Determine Discounting Coefficient in Dempster-Shafer Evidence Fusion [PDF]
EntropyConflict management is crucial in information fusion. One of the efficient algorithms to address conflicting data fusion is discounting method. However, how to determine the discounting coefficient in conflict management remains an open issue.
Siyao Huang, Yong Deng
doaj +2 more sources
Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy
IEEE Access, 2020 Deng entropy is a novel and efficient uncertainty measure to deal with imprecise phenomenon, which is an extension of Shannon entropy. In this paper, power law and dimension of the maximum value for belief distribution with the max Deng entropy are ...
Ruonan Zhu, Bingyi Kang
exaly +3 more sources
IEEE Access, 2019 Deng entropy has been proposed to measure the uncertainty degree of basic probability assignment in evidence theory. In this paper, the condition of the maximum of Deng entropy is discussed.
Yong Deng, Bingyi Kang
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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.
Bingyi Kang, Jianfeng Zhang, Huizi Cui
exaly +3 more sources
ODE-BPA: A Novel Basic Probability Assignment Generation Method Based on OTSU and Deng Entropy [PDF]
EntropyConstructing basic probability assignments (BPAs) objectively and adaptively remains an important issue in Dempster–Shafer theory. To reduce the uncertainty caused by rigid nested focal element structures, this paper proposes ODE-BPA, a BPA generation ...
Xinghua Zhou +3 more
doaj +2 more sources
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.
Felix T.S. Chan +2 more
exaly +3 more sources