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Bearing Fault Diagnosis Based on a Hybrid Classifier Ensemble Approach and the Improved Dempster-Shafer Theory [PDF]
Sensors, 2019 Bearing fault diagnosis of a rotating machine plays an important role in reliable operation. A novel intelligent fault diagnosis method for roller bearings has been developed based on a proposed hybrid classifier ensemble approach and the improved ...
Yanxue Wang, Fang Liu, Aihua Zhu
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection [PDF]
PeerJ Computer ScienceBackground Detecting fake multimodal property listings is a significant challenge in online real estate platforms due to the increasing sophistication of fraudulent activities.
Maifuza Mohd Amin +2 more
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Identifying Influential Nodes Based on Evidence Theory in Complex Network [PDF]
EntropyInfluential node identification is an important and hot topic in the field of complex network science. Classical algorithms for identifying influential nodes are typically based on a single attribute of nodes or the simple fusion of a few attributes ...
Fu Tan +5 more
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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 Networked Method for Multi-Evidence-Based Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is an effective way to solve multi-sensor data fusion problems. After developing many improved combination rules, Dempster–Shafer evidence theory can also yield excellent results when fusing highly conflicting evidence ...
Qian Liang, Zhongxin Liu, Zengqiang Chen
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A Novel Integration Method for D Numbers Based on Horizontal Comparison
Axioms, 2021 D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints of mutual exclusion and completeness under the frame of discernment of Dempster–Shafer evidence theory, so it has been widely used to deal with uncertainty
Haiyang Hou, Chunyu Zhao
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IJAIN (International Journal of Advances in Intelligent Informatics), 2020 Threat Assessment is one of the most important components in combat management systems. However, uncertainty is one of the problems that occur in the input data of these systems that have been provided using several sensors in sensor networks.
Ehsan Azimirad +1 more
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Evidence conflict measure based on OWA operator in open world. [PDF]
PLoS ONE, 2017 Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer.
Wen Jiang +4 more
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Energies, 2022 Lightning has a certain degree of potential threat to the safe operation of overhead transmission lines. In order to make targeted lightning protection arrangements and reduce the impact of lightning on overhead transmission lines, it is necessary to ...
Jie Liu +5 more
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Entropy, 2023 Dempster–Shafer evidence theory is widely used to deal with uncertain information by evidence modeling and evidence reasoning. However, if there is a high contradiction between different pieces of evidence, the Dempster combination rule may give a fusion
Yongchuan Tang +4 more
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