Conflict Data Fusion in a Multi-Agent System Premised on the Base Basic Probability Assignment and Evidence Distance [PDF]
Entropy, 2021 The multi-agent information fusion (MAIF) system can alleviate the limitations of a single expert system in dealing with complex situations, as it allows multiple agents to cooperate in order to solve problems in complex environments.
Jingyu Liu, Yongchuan Tang
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A New Belief Entropy in Dempster–Shafer Theory Based on Basic Probability Assignment and the Frame of Discernment [PDF]
Entropy, 2020 Dempster–Shafer theory has been widely used in many applications, especially in the measurement of information uncertainty. However, under the D-S theory, how to use the belief entropy to measure the uncertainty is still an open issue.
Jiapeng Li, Qian Pan
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A new basic probability assignment generation and combination method for conflict data fusion in the evidence theory [PDF]
Scientific Reports, 2023 Dempster–Shafer evidence theory is an effective method to deal with information fusion. However, how to deal with the fusion paradoxes while using the Dempster’s combination rule is still an open issue.
Yongchuan Tang +5 more
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Fusion of expert uncertain assessment in FMEA based on the negation of basic probability assignment and evidence distance [PDF]
Scientific Reports, 2022 Failure mode and effects analysis (FMEA) has been widely used for potential risk modeling and management. Expert evaluation is used to model the risk priority number to determine the risk level of different failure modes.
Yusong Yuan, Yongchuan Tang
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Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy [PDF]
Entropy, 2022 Multi-source information fusion is widely used because of its similarity to practical engineering situations. With the development of science and technology, the sources of information collected under engineering projects and scientific research are more
Yujie Chen +3 more
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A New Method to Determine Generalized Basic Probability Assignment in the Open World [PDF]
IEEE Access, 2019 Dempster-Shafer evidence theory (D-S theory) is a very useful tool to solve problems in the field of information fusion. But how to determine generalized basic probability assignment (GBPA) more accurately and efficiently in D-S theory is still a matter ...
Renliang Sun, Yong Deng
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ODE-BPA: A Novel Basic Probability Assignment Generation Method Based on OTSU and Deng Entropy [PDF]
EntropyConstructing basic probability assignments (BPAs) objectively and adaptively remains an important issue in Dempster–Shafer theory. To reduce the uncertainty caused by rigid nested focal element structures, this paper proposes ODE-BPA, a BPA generation ...
Xinghua Zhou +3 more
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Visualization of basic probability assignment [PDF]
Soft Computing, 2021 Abstract Applying geometry to the analysis and interpretation of basic probability assignment(BPA) is a unique research direction in evidence theory. Though the geometric representation of BPA has been proposed, the visualization method of BPA is still lack of sufficient research.
Hongfeng Long +2 more
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An improved method to determine basic probability assignment based on fuzzy mathematics [PDF]
MATEC Web of Conferences, 2022 In D-S evidence theory, the determination of the basic probability assignment function (BPA) is the first and important step. However, the generation of BPA is still a problem to be solved.
Xiong Leihui, Su Xiaoyan
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Multiscale Probability Transformation of Basic Probability Assignment [PDF]
Mathematical Problems in Engineering, 2014 Decision making is still an open issue in the application of Dempster‐Shafer evidence theory. A lot of works have been presented for it. In the transferable belief model (TBM), pignistic probabilities based on the basic probability assignments are used for decision making.
Meizhu Li, Xi Lu, Qi Zhang, Yong Deng
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