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Approximations for Decision Making in the Dempster-Shafer Theory of Evidence
8 references·0 citing·29 second hop
Approximations for Decision Making in the Dempster-Shafer Theory of Evidence (2013)Approximations for Decision Making in the…Computational Methods for A Mathematical Theory of Evidence (2008)Computational Methods for A M…A Framework for Evidential-Reasoning Systems (2008)A Framework for Evidential-Re…Monte-Carlo methods make Dempster-Shafer formalism feasible (1994)Monte-Carlo methods make Demp…Approximations for efficient computation in the theory of evidence (1993)Approximations for efficient …Dempster's rule of combination is #P-complete (1990)Dempster's rule of combinatio…Consonant approximations of belief functions (1990)Consonant approximations of b…A computationally efficient approximation of Dempster-Shafer theory (1989)A computationally efficient a…A method for managing evidential reasoning in a hierarchical hypothesis space (1985)A method for managing evident…Fuzzy sets (1965)A Theory of Statistical Evidence (1976)A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination (1986)On the dempster-shafer framework and new combination rules (1987)The combination of evidence in the transferable belief model (1990)Implementing Dempster's rule for hierarchical evidence (1987)Approximation algorithms and decision making in the Dempster-Shafer theory of evidence — An empirical study (1997)Decision making in the TBM: the necessity of the pignistic transformation (2004)A new definition of entropy of belief functions in the Dempster–Shafer theory (2017)Continuous belief functions for evidential reasoning (1984)Representation and combination of uncertainty with belief functions and possibility measures (1988)Combining belief functions when evidence conflicts (2000)Analysis of fuzzy information (1987)Decision analysis using belief functions (1990)The Dempster–Shafer theory of evidence: an alternative approach to multicriteria decision modelling (2000)Classic Works of the Dempster-Shafer Theory of Belief Functions (2008)A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory (1972)Fuzzy Sets and Systems - Theory and Applications (1980)A Geometric Approach to the Theory of Evidence (2008)A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory (2022)A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)A new distance between two bodies of evidence (2001)A k-Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory (2008)Algorithms for Dempster-Shafer Theory (2000)Belief rule-base inference methodology using the evidential reasoning Approach-RIMER (2006)An optimization model for rescuer assignments under an uncertain environment by using Dempster–Shafer theory (2022)Random Sets Unify, Explain, and Aid Known Uncertainty Methods in Expert Systems (1997)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model (2019)
this work references cited by second hop

References

  • 1985A method for managing evidential reasoning in a hierarchical hypothesis space401 cited
  • 2008Computational Methods for A Mathematical Theory of Evidence395 cited
  • 1993Approximations for efficient computation in the theory of evidence226 cited
  • 1990Consonant approximations of belief functions197 cited
  • 1989A computationally efficient approximation of Dempster-Shafer theory176 cited
  • 2008A Framework for Evidential-Reasoning Systems172 cited
  • 1990Dempster's rule of combination is #P-complete109 cited
  • 1994Monte-Carlo methods make Dempster-Shafer formalism feasible31 cited

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