Belief Interval of Dempster-Shafer Theory for Line-of-Sight Identification in Indoor Positioning Applications. [PDF]
Sensors (Basel), 2017 Wu J, Zhao T, Li S, Own CM.
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Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. [PDF]
Comput Intell Neurosci, 2016 Wang X, Wang Y, Sun H.
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Optimal unified combination rule in application of Dempster-Shafer theory to lung cancer radiotherapy dose response outcome analysis. [PDF]
J Appl Clin Med Phys, 2016 He Y, Hussaini MY, Gong YU, Xiao Y.
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Assessment on knowledge network sharing capability of industrial cluster based on dempster-shafer theory of evidence. [PDF]
ScientificWorldJournal, 2014 Dai S, Zhang H.
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Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. [PDF]
Sensors (Basel), 2015 Si L +5 more
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The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling
The objective of this paper is to describe the potential offered by the Dempster-Shafer theory (DST) of evidence as a promising improvement on "traditional" approaches to decision analysis. Dempster-Shafer techniques originated in the work of Dempster on
Morgan, Peter +2 more
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Comparative Study of Decision-Level Fusion Strategies for Multi-Sensor CNN-Based Bearing Fault Diagnosis. [PDF]
Entropy (Basel)Makrouf I +5 more
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A Deng Entropy-Based Heuristic Method to Determine Discounting Coefficient in Dempster-Shafer Evidence Fusion. [PDF]
Entropy (Basel)Huang S, Deng Y.
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