Dempster-Shafer vs. Probabilistic Logic
, 2013 The combination of evidence in Dempster-Shafer theory is compared with the combination of evidence in probabilistic logic. Sufficient conditions are stated for these two methods to agree. It is then shown that these conditions are minimal in the sense that disagreement can occur when any one of them is removed.
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ML-DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster-Shafer Theory. [PDF]
Comput Intell Neurosci, 2023 Eftekharian M, Nodehi A, Enayatifar R.
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Non-exclusive hypotheses in Dempster–Shafer Theory
International Journal of Approximate Reasoning, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A new correlation belief function in Dempster-Shafer evidence theory and its application in classification. [PDF]
Sci Rep, 2023 Tang Y +4 more
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Un procedimiento para elaborar mapas de riesgos naturales aplicado a Honduras [PDF]
A method based on the theory of Evidence of Dempster-Shafer to build risk maps is proposed. Procedures to create maps of flooding exposition and to measure territorial vulnerability are explained.
Ahamdanech Zarco, Ismael +6 more
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Retraction Note: Picture fuzzy set-based decision-making approach using Dempster-Shafer theory of evidence and grey relation analysis and its application in COVID-19 medicine selection. [PDF]
Soft comput, 2023 Si A, Das S, Kar S.
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Equivalence of the Dempster-Shafer rule and the maximum likelihood rule implies convexity [PDF]
It is known that if a capacity is convex then the Dempster-Shafer rule for the capacity is equivalent to the maximum likelihood rule for the core of the capacity. This paper shows that the converse is also true that is, a capacity must be convex if these
Atsushi Kajii, Takashi Ui
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A multi-source information fusion approach in tunnel collapse risk analysis based on improved Dempster-Shafer evidence theory. [PDF]
Sci Rep, 2022 Wu B +5 more
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Dempster-Shafer Theory for Modeling and Treating Uncertainty in IoT Applications Based on Complex Event Processing. [PDF]
Sensors (Basel), 2021 Bezerra EDC +3 more
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The Dempster-Shafer Theory of Evidence [PDF]
, 2001 The Dempster-Shafer theory of evidence (here, DS theory, for brevity), sometimes called evidential reasoning (cf. Lowrance et al. [Lowrance et al., 1981]) or belief function theory, is a mechanism formalised by Shafer ([Shafer, 1976]) for representing and reasoning with uncertain, imprecise and incomplete information. It is based on Dempster’s original
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