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On the behavior of Dempster's rule of combination and the foundations of Dempster-Shafer Theory
4 references·6 citing·30 second hop
On the behavior of Dempster's rule of combination and the foundations of Dempster-Shafer Theory (2012)On the behavior of Dempster's rule of com…On The Validity Of Dempster-Shafer Theory (2015)On The Validity Of Dempster-S…Practical Uses of Belief Functions (2013)Practical Uses of Belief Func…Advances and Applications of DSmT for Information Fusion (2004)Advances and Applications of …A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination (1986)A simple view of the Dempster…Tackling uncertainty in security assessment of critical infrastructures: Dempster-Shafer Theory vs. Credal Sets Theory (2018)Tackling uncertainty in secur…An uncertainty measure and fusion rule for conflict evidences of big data via Dempster–Shafer theory (2017)An uncertainty measure and fu…Decision-Making with Belief Interval Distance (2016)Decision-Making with Belief I…Classification of incomplete data based on belief functions and K-nearest neighbors (2015)Classification of incomplete …Sequential weighted combination for unreliable evidence based on evidence variance (2013)Sequential weighted combinati…On the consistency of PCR6 with the averaging rule and its application to probability estimation (2013)On the consistency of PCR6 wi…The combination of evidence in the transferable belief model (1990)Advances in the Dempster-Shafer theory of evidence (1994)INNER AND OUTER APPROXIMATION OF BELIEF STRUCTURES USING A HIERARCHICAL CLUSTERING APPROACH (2001)Applying Evidential Reasoning to Prequalifying Construction Contractors (2002)A k-Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory (2008)Fusion of sources of evidence with different importances and reliabilities (2010)Urref Self-Confidence In Information Fusion Trust (2015)Multi-featured collective perception with Evidence Theory: tackling spatial correlations (2021)A mathematical theory of evidence (1977)On the dempster-shafer framework and new combination rules (1987)A multi-attribute fusion approach extending Dempster–Shafer theory for combinatorial-type evidences (2017)A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)Using Evidence Credibility Decay Model for dependence assessment in human reliability analysis (2016)Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules (2017)A new distance between two bodies of evidence (2001)Combining belief functions when evidence conflicts (2000)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)A New Method to Determine Generalized Basic Probability Assignment in the Open World (2019)Improving the analysis of dependable systems by mapping fault trees into Bayesian networks (2001)Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches (2011)Reducing unknown risk: The safety engineers’ new horizon (2020)Probabilistic assessment aimed at the evaluation of escalating scenarios in process facilities combining safety and security barriers (2022)Protecting oil storage tanks against floods: Natech risk assessment with imprecise probabilities (2024)Analyzing the combination of conflicting belief functions (2006)Classifier Fusion With Contextual Reliability Evaluation (2017)Combination of Classifiers With Optimal Weight Based on Evidential Reasoning (2017)How to decide when the sources of evidence are unreliable: A multi-criteria discounting approach in the Dempster–Shafer theory (2018)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Evidential reasoning rule for evidence combination (2013)Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2018)
this work references cited by second hop

References

  • 1986A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination800 cited
  • 2004Advances and Applications of DSmT for Information Fusion437 cited
  • 2013Practical Uses of Belief Functions100 cited
  • 2015On The Validity Of Dempster-Shafer Theory84 cited

Cited by

  • 2013On the consistency of PCR6 with the averaging rule and its application to probability estimation57 cited
  • 2015Classification of incomplete data based on belief functions and K-nearest neighbors45 cited
  • 2017An uncertainty measure and fusion rule for conflict evidences of big data via Dempster–Shafer theory41 cited
  • 2016Decision-Making with Belief Interval Distance34 cited
  • 2018Tackling uncertainty in security assessment of critical infrastructures: Dempster-Shafer Theory vs. Credal Sets Theory30 cited
  • 2013Sequential weighted combination for unreliable evidence based on evidence variance30 cited

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