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IEEE Access, 2021 Since the Dempster-Shafer evidence theory was developed, it has been extensively concerned by researchers. Compared with Bayesian probability theory, Dempster-Shafer evidence theory satisfies weaker constraints and has the advantage to indicate ...
Zichong Chen, Xianwen Luo
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A new approach for generation of generalized basic probability assignment in the evidence theory [PDF]
Pattern Analysis and Applications, 2021 The process of information fusion needs to deal with a large number of uncertain information with multi-source, heterogeneity, inaccuracy, unreliability, and incompleteness. In practical engineering applications, Dempster-Shafer evidence theory is widely used in multi-source information fusion owing to its effectiveness in data fusion.
Yongchuan Tang, Dongdong Wu, Zijing Liu
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Study on the Basic Probability Assignment Based on Grey Relational Analysis and Gaussian Membership
IEEE Access, 2021 Dempster-Shafer(D-S) evidence theory is one of the most widely used methods in the field of data fusion. The key step in applying D-S evidence theory is to determine the basic probability assignment(BPA), but how to determine it appropriately is still a ...
Siqiang Zhong +2 more
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Generalized basic probability assignments [PDF]
International Journal of General Systems, 2005 Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially. By considering SETS of basic probability assignments, an appealing constructive approach to general interval probability (general imprecise probabilities) is achieved, which allows for a very ...
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Entropy, 2019 It is still an open issue to measure uncertainty of the basic probability assignment function under Dempster-Shafer theory framework, which is the foundation and preliminary work for conflict degree measurement and combination of evidences.
Yonggang Zhao +4 more
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Advances in Mechanical Engineering, 2018 Fault diagnosis is a problem processing variable information obtained from different sources in nature. Evidence theory, efficient to deal with information viewed as evidence, is widely used in fault diagnosis.
Hepeng Zhang, Yong Deng
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IEEE Access, 2019 Deng entropy has been proposed to measure the uncertainty degree of basic probability assignment in evidence theory. In this paper, the condition of the maximum of Deng entropy is discussed.
Bingyi Kang, Yong Deng
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Transformation of basic probability assignments to probabilities based on a new entropy measure
CoRR, 2015 Dempster-Shafer evidence theory is an efficient mathematical tool to deal with uncertain information. In that theory, basic probability assignment (BPA) is the basic element for the expression and inference of uncertainty. Decision-making based on BPA is still an open issue in Dempster-Shafer evidence theory.
Xinyang Deng, Yong Deng 0001
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Negation of Belief Function Based on the Total Uncertainty Measure
Entropy, 2019 The negation of probability provides a new way of looking at information representation. However, the negation of basic probability assignment (BPA) is still an open issue.
Kangyang Xie, Fuyuan Xiao
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Gong-kuang zidonghua, 2017 The existing condition assessment methods of mine-used transformer mostly focus on assessment model and theory research, while neglect temporal and spatial correlation analysis of evaluation indexes.
ZHANG Yuzhen +4 more
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