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Interval Uncertainty Reduction and Single-Disciplinary Sensitivity Analysis With Multi-Objective Optimization
16 references·4 citing·30 second hop
Interval Uncertainty Reduction and Single-Disciplinary Sensitivity Analysis With Multi-Objective Optimization (2009)Interval Uncertainty Reduction and Single…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty (2004)Analytical Variance-Based Glo…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Sensitivity Analysis in Practice (2002)Sensitivity Analysis in Pract…Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Different methods are needed to propagate ignorance and variability (1996)Different methods are needed …A review of techniques for parameter sensitivity analysis of environmental models (1994)A review of techniques for pa…Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Uncertainty and sensitivity a…Screening, Predicting, and Computer Experiments (1992)Screening, Predicting, and Co…An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)An Investigation of Uncertain…Maximum entropy sampling (1987)Maximum entropy samplingFuzzy sets (1965)Fuzzy setsAn on-line Kriging metamodel assisted robust optimization approach under interval uncertainty (2017)An on-line Kriging metamodel …Random Field Characterization Considering Statistical Dependence for Probability Analysis and Design (2010)Random Field Characterization…Design Improvement by Sensitivity Analysis Under Interval Uncertainty Using Multi-Objective Optimization (2010)Design Improvement by Sensiti…A strategy for resolving evolutionary performance coupling at the early stages of complex engineering design (2010)A strategy for resolving evol…Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sensitivity Analysis for Chemical Models (2005)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Empirical Model Building and Response Surfaces (1988)Verification, validation, and predictive capability in computational engineering and physics (2004)Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation (2016)Rank Correlation Methods. (1957)Statistical principles in experimental design. (1962)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Sensitivity analysis practices: Strategies for model-based inference (2006)Variable importance analysis: A comprehensive review (2015)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)A new uncertainty importance measure (2006)Bayesian analysis of computer code outputs: A tutorial (2006)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
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References

  • 1965Fuzzy sets67,827 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 1994A review of techniques for parameter sensitivity analysis of environmental models1,964 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2002Identification and Review of Sensitivity Analysis Methods1,035 cited
  • 1993Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal735 cited
  • 1992Screening, Predicting, and Computer Experiments633 cited
  • 1996Different methods are needed to propagate ignorance and variability621 cited
  • 1988An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models609 cited
  • 1987Maximum entropy sampling603 cited
  • 2002Sensitivity Analysis in Practice

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526 cited
  • 2004Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty230 cited
  • Cited by

    • 2010Design Improvement by Sensitivity Analysis Under Interval Uncertainty Using Multi-Objective Optimization14 cited
    • 2017An on-line Kriging metamodel assisted robust optimization approach under interval uncertainty13 cited
    • 2010Random Field Characterization Considering Statistical Dependence for Probability Analysis and Design11 cited
    • 2010A strategy for resolving evolutionary performance coupling at the early stages of complex engineering design6 cited