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Clustering decomposed belief functions using generalized weights of conflict
4 references·1 citing·14 second hop
Clustering decomposed belief functions using generalized weights of conflict (2007)Clustering decomposed belief functions us…Analyzing the combination of conflicting belief functions (2006)Analyzing the combination of …The canonical decomposition of a weighted belief (1995)The canonical decomposition o…On nonspecific evidence (1993)On nonspecific evidenceA mathematical theory of evidence (1977)A mathematical theory of evid…Information-based dissimilarity assessment in Dempster–Shafer theory (2013)Information-based dissimilari…The Logic of Decision (1965)On the dempster-shafer framework and new combination rules (1987)Analyzing the degree of conflict among belief functions (2006)Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence (2007)Distances in evidence theory: Comprehensive survey and generalizations (2011)ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE (1983)A new distance between two bodies of evidence (2001)The combination of evidence in the transferable belief model (1990)A Geometric Approach to the Theory of Evidence (2008)Classifier fusion in the Dempster–Shafer framework using optimized t-norm based combination rules (2010)Logistic regression, neural networks and Dempster–Shafer theory: A new perspective (2019)k-order additive discrete fuzzy measures and their representation (1997)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A Similarity Measure between Basic Belief Assignments (2006)
this work references cited by second hop

References

  • 1977A mathematical theory of evidence1,783 cited
  • 2006Analyzing the combination of conflicting belief functions420 cited
  • 1995The canonical decomposition of a weighted belief159 cited
  • 1993On nonspecific evidence57 cited

Cited by

  • 2013Information-based dissimilarity assessment in Dempster–Shafer theory33 cited

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