Results 11 to 20 of about 81,222 (134)
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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An Extension to Deng’s Entropy in the Open World Assumption with an Application in Sensor Data Fusion [PDF]
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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Forestist, 2018 The various diversity measures used to measure biodiversity include the Margalef index, McIntosh index, Simpson index, Brillouin index, and Shannon entropy. Of these measures, the most popular is Shannon entropy (H). In this study, with respect to measuring biodiversity, we compare Shannon entropy-the essential aspect of Information theory-with the ...
Kürşad Özkan
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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.
openaire +4 more sources
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 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 +3 more
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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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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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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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