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 +3 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.
Dan Wang, Jiale Gao, 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, Yongchuan Tang
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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.
Yonggang Zhao +4 more
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The Maximum Deng Entropy [PDF]
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.
Bingyi Kang, Yong Deng
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A Dual Measure of Uncertainty: The Deng Extropy [PDF]
Entropy, 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.
Francesco Buono, Maria Longobardi
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Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy [PDF]
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, Jiaqi Chen, Bingyi Kang
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A Weighted Evidence Combination Method Based on the Pignistic Probability Distance and Deng Entropy [PDF]
Journal of Aerospace Technology and Management, 2020 The Dempster-Shafer (D-S) theory is widely applied in various fields involved with multi-sensor information fusion for radar target tracking, which offers a useful tool for decision-making.
Lifan Sun +4 more
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
Sensors, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
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A Deng-Entropy-Based Evidential Reasoning Approach for Multi-expert Multi-criterion Decision-Making with Uncertainty [PDF]
International Journal of Computational Intelligence Systems, 2020 The evidential reasoning (ER) approach has been widely applied to aggregate evaluation information in multi-expert multi-criterion decision-making (MEMCDM) problems with uncertainties.
Huchang Liao, Zhongyuan Ren, Ran Fang
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