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The maximum entropy negation of basic probability assignment
Soft Computing, 2023Ruijie Liu, Yong Deng 0001, Zhen Li 0051
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A generalization of Rényi entropy for basic probability assignment
Communications in Statistics - Theory and Methods, 2022Ran Yu, Yong Deng
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International Journal of Intelligent Systems, 2021
Chongru Huang, Xiangjun Mi, Bingyi Kang
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Chongru Huang, Xiangjun Mi, Bingyi Kang
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Modeling Weak Information with Generalized Basic Probability Assignments
1996Interval-probability reacts to the fact that often there is not enough information to assign a classical probability measure. One approach, the Dempster-Shafer theory, calculates belief-functions using so-called basic probability assignments, which prove, however, to be (formally) equivalent to a probability measure (on a different space). This article
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Determining interval basic probability assignment based on statistical information
2015 Chinese Automation Congress (CAC), 2015Evidence theory can express and process uncertain and non-precision information well, so it is widely used in the related fields of information fusion. How to determine the basic probability assignment is one of the most difficult problems of the evidence theory.
Dangui Hu, Dinghua He
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A generalization of Rényi entropy for basic probability assignment
Communications in Statistics - Theory and Methods, 2023Yong Deng
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Measure information quality of basic probability assignment: An information volume method
Applied Intelligence, 2022Dingbin Li, Yong Deng 0001
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Quantum Representation of Basic Probability Assignments Based on Mixed Quantum States
2021 IEEE 24th International Conference on Information Fusion (FUSION), 2021Xinyang Deng, Wen Jiang 0002
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Fourier transform of basic probability assignment
Information SciencesRuolan Cheng, Yong Deng
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