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An improved CREAM model based on Deng entropy and evidence distance
Nuclear Engineering and TechnologyThe cognitive reliability and error analysis method (CREAM), a widely used human reliability analysis (HRA) approach, quantifies the cognitive failure probability (CFP) in specific situations. In the application of CREAM, the levels of common performance
Xiaoyan Su
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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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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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A Dual Measure of Uncertainty: The Deng Extropy
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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Entropy, 2020 Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption.
Bin Yang +3 more
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Forestist, 2022 Unlike the traditional diversity indices, taxonomic diversity indices take into account the distances based on morphological or functional properties of species or the distances among the species based on the topology of Linnaean classifications.
Kürşad Özkan , Ahmet Mert
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The Pseudo-Pascal Triangle of Maximum Deng Entropy
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020 PPascal triangle (known as Yang Hui Triangle in Chinese) is an important model in mathematics while the entropy has been heavily studied in physics or as uncertainty measure in information science. How to construct the the connection between Pascal triangle and uncertainty measure is an interesting topic.
Gao, X., Deng, Y.
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Generalized Belief Entropy and Its Application in Identifying Conflict Evidence
IEEE Access, 2019 Dempster-Shafer evidence theory has wide applications in many fields. Recently, A new entropy called Deng entropy was proposed in evidence theory. Some scholars have pointed out that Deng Entropy does not satisfy the additivity in uncertain measurements.
Fan Liu +3 more
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An Improved Belief Entropy in Evidence Theory
IEEE Access, 2020 Uncertainty measurement of the basic probability assignment function has always been a hot issue in Dempster-Shafer evidence. Many existing studies mainly consider the influence of the mass function itself and the size of the frame of discernment, so ...
Hangyu Yan, Yong Deng
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Mathematics, 2021 The Dempster–Shafer evidence theory has been widely used in the field of data fusion. However, with further research, incomplete information under the open world assumption has been discovered as a new type of uncertain information.
Yutong Chen, Yongchuan Tang
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