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Monte-Carlo methods make Dempster-Shafer formalism feasible
3 references·4 citing·26 second hop
Monte-Carlo methods make Dempster-Shafer formalism feasible (1994)Monte-Carlo methods make Dempster-Shafer …Computational Methods for A Mathematical Theory of Evidence (2008)Computational Methods for A M…Dempster's rule of combination is #P-complete (1990)Dempster's rule of combinatio…Implementing Dempster's rule for hierarchical evidence (1987)Implementing Dempster's rule …Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model (2019)Evidence‐Based Multidisciplin…Approximations for Decision Making in the Dempster-Shafer Theory of Evidence (2013)Approximations for Decision M…Constructing Probability Boxes and Dempster-Shafer Structures (2003)Constructing Probability Boxe…Random Sets Unify, Explain, and Aid Known Uncertainty Methods in Expert Systems (1997)Random Sets Unify, Explain, a…A method for managing evidential reasoning in a hierarchical hypothesis space (1985)Approximations for efficient computation in the theory of evidence (1993)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)The Proof That a Game May Not Have a Solution (1969)Advances in the Dempster-Shafer theory of evidence (1994)Theory of games and economic behavior (2019)Judgment Under Uncertainty: Heuristics and Biases. (1984)On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)Fuzzy sets (1996)Proceedings of the 2002 Winter Simulation Conference (2002)Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation (2004)Risks and decisions for conservation and environmental management (2005)A mathematical theory of evidence (1977)Representation and combination of uncertainty with belief functions and possibility measures (1988)Dempster-Shafer theory for sensor fusion in autonomous mobile robots (1998)Combining belief functions when evidence conflicts (2000)Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty (1997)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)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)
this work references cited by second hop

References

  • 2008Computational Methods for A Mathematical Theory of Evidence395 cited
  • 1987Implementing Dempster's rule for hierarchical evidence285 cited
  • 1990Dempster's rule of combination is #P-complete109 cited

Cited by

  • 2003Constructing Probability Boxes and Dempster-Shafer Structures745 cited
  • 1997Random Sets Unify, Explain, and Aid Known Uncertainty Methods in Expert Systems28 cited
  • 2013Approximations for Decision Making in the Dempster-Shafer Theory of Evidence25 cited
  • 2019Evidence‐Based Multidisciplinary Design Optimization with the Active Global Kriging Model6 cited

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