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The maximum entropy negation of basic probability assignment

Soft Computing, 2023
Ruijie 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, 2022
Ran Yu, Yong Deng
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Basic probability assignment to probability distribution function based on the Shapley value approach

International Journal of Intelligent Systems, 2021
Chongru Huang, Xiangjun Mi, Bingyi Kang
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Modeling Weak Information with Generalized Basic Probability Assignments

1996
Interval-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), 2015
Evidence 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
exaly   +2 more sources

A generalization of Rényi entropy for basic probability assignment

Communications in Statistics - Theory and Methods, 2023
Yong Deng
exaly  

Quantum Representation of Basic Probability Assignments Based on Mixed Quantum States

2021 IEEE 24th International Conference on Information Fusion (FUSION), 2021
Xinyang Deng, Wen Jiang 0002
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Fourier transform of basic probability assignment

Information Sciences
Ruolan Cheng, Yong Deng
openaire   +1 more source

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