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A collaborative quasi-Monte Carlo uncertainty propagation analysis method for multiple types of epistemic uncertainty quantified by probability boxes
16 references·0 citing·45 second hop
A collaborative quasi-Monte Carlo uncertainty propagation analysis method for multiple types of epistemic uncertainty quantified by probability boxes (2023)A collaborative quasi-Monte Carlo uncerta…Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation (2019)Non-intrusive stochastic anal…Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach (2019)Construction of probability b…An efficient epistemic uncertainty analysis method using evidence theory (2018)An efficient epistemic uncert…Uncertainty propagation of p-boxes using sparse polynomial chaos expansions (2017)Uncertainty propagation of p-…Structural reliability analysis for p-boxes using multi-level meta-models (2017)Structural reliability analys…First and second order approximate reliability analysis methods using evidence theory (2015)First and second order approx…Extended Monte Carlo Simulation for Parametric Global Sensitivity Analysis and Optimization (2014)Extended Monte Carlo Simulati…Advanced Line Sampling for efficient robust reliability analysis (2014)Advanced Line Sampling for ef…Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation (2011)Mixed aleatory-epistemic unce…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Interval Monte Carlo methods for structural reliability (2010)Interval Monte Carlo methods …Uncertainty Analysis Based on Probability Bounds (P‐Box) Approach in Probabilistic Safety Assessment (2009)Uncertainty Analysis Based on…Inverse Possibility Analysis Method for Possibility-Based Design Optimization (2006)Inverse Possibility Analysis …The Value of Using Imprecise Probabilities in Engineering Design (2005)The Value of Using Imprecise …Reliability Estimation and Design with Insufficient Data Based on Possibility Theory (2005)Reliability Estimation and De…Constructing Probability Boxes and Dempster-Shafer Structures (2003)Constructing Probability Boxe…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)Exact and Invariant Second-Moment Code Format (1974)A mathematical theory of evidence (1977)Structural reliability under combined random load sequences (1978)Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis (2019)Fuzzy sets (1965)An Introduction to Copulas (1999)AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis (2019)Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)Engineering analysis with probability boxes: A review on computational methods (2021)Probability Concepts in Engineering Planning and Design (1975)Aleatory or epistemic? Does it matter? (2008)Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method (2012)Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review (2017)Structural Reliability Analysis and Prediction (2017)Modeling, analysis, and optimization under uncertainties: a review (2021)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications (2015)A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables (2018)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Probability, reliability and statistical methods in engineering design (1999)A Design Optimization Method Using Evidence Theory (2005)A Design Optimization Method Using Evidence Theory (2005)A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities (2018)Fault-Tree Analysis by Fuzzy Probability (1983)Different methods are needed to propagate ignorance and variability (1996)Risk Analysis: A Quantitative Guide (2000)Reliability-based design optimization of adhesive bonded steel–concrete composite beams with probabilistic and non-probabilistic uncertainties (2011)Probability and Possibility‐Based Representations of Uncertainty in Fault Tree Analysis (2012)Hybrid reliability analysis of structures with multi-source uncertainties (2013)Design and Analysis of Computer Experiments (1989)A unified formalism of the GE-GDEE for generic continuous responses and first-passage reliability analysis of multi-dimensional nonlinear systems subjected to non-white-noise excitations (2022)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration (2021)A survey on machine learning approaches for uncertainty quantification of engineering systems (2025)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Best Practices for Scientific Computing (2014)
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References

  • 2010Verification and Validation in Scientific Computing1,579 cited
  • 2003Constructing Probability Boxes and Dempster-Shafer Structures745 cited
  • 2010Interval Monte Carlo methods for structural reliability224 cited
  • 2014Advanced Line Sampling for efficient robust reliability analysis212 cited
  • 2011Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation192 cited
  • 2005Reliability Estimation and Design with Insufficient Data Based on Possibility Theory153 cited
  • 2015First and second order approximate reliability analysis methods using evidence theory145 cited
  • 2009Uncertainty Analysis Based on Probability Bounds (P‐Box) Approach in Probabilistic Safety Assessment121 cited
  • 2017Structural reliability analysis for p-boxes using multi-level meta-models110 cited
  • 2019Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation87 cited
  • 2006Inverse Possibility Analysis Method for Possibility-Based Design Optimization82 cited
  • 2005The Value of Using Imprecise Probabilities in Engineering Design78 cited
  • 2017Uncertainty propagation of p-boxes using sparse polynomial chaos expansions72 cited
  • 2014Extended Monte Carlo Simulation for Parametric Global Sensitivity Analysis and Optimization

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68 cited
  • 2019Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach67 cited
  • 2018An efficient epistemic uncertainty analysis method using evidence theory43 cited
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