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Propagation of uncertainty through multivariate functions in the framework of sets of probability measures
2 references·16 citing·45 second hopsampled
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References

  • 2004Challenge problems: uncertainty in system response given uncertain parameters570 cited
  • 2004Arithmetic with uncertain numbers: rigorous and (often) best possible answers185 cited

Cited by

  • 2010A probabilistic approach for representation of interval uncertainty103 cited
  • 2017On the quantification and efficient propagation of imprecise probabilities resulting from small datasets97 cited
  • 2006On the calculation of the bounds of probability of events using infinite random sets85 cited
  • 2008Classical and imprecise probability methods for sensitivity analysis in engineering: A case study71 cited
  • 2004Representation and problem solving with Distribution Envelope Determination (DEnv)64 cited
  • 2013Literature review of methods for representing uncertainty55 cited
  • 2013Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model47 cited
  • 2011Probabilistic Framework for Uncertainty Propagation With Both Probabilistic and Interval Variables43 cited
  • 2018The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets37 cited
  • 2019A Fuzzy-Based Risk Assessment Methodology for Construction Projects Under Epistemic Uncertainty36 cited
  • 2005Comparing methods for joint objective and subjective uncertainty propagation with an example in a risk assessment

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32 cited
  • 2020Imprecise global sensitivity analysis using bayesian multimodel inference and importance sampling28 cited
  • 2020On the quantification and efficient propagation of imprecise probabilities with copula dependence25 cited
  • 2014Analysis and computation with hybrid random set stochastic models24 cited
  • 2007INFLUENCE OF PARTIAL SAFETY FACTORS ON DESIGN RELIABILITY OF STEEL STRUCTURES ‐ PROBABILITY AND FUZZY PROBABILITY ASSESSMENTS22 cited
  • 2015Hybrid Uncertainty and Sensitivity Analysis of the Model of a Twin-Jet Aircraft20 cited