Uncertainty Analysis With Probability and Evidence Theories

By Xiaoping Du. Design Automation Conference, 2006

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Sensitivity Analysis with Mixture of Epistemic and Aleatory Uncertainties (2007, methodology): “When k approaches infinity, the equation for the cumulative belief function (CBF), the degree of belief that the event G < c would occur, becomes [16]”
Structural reliability analysis using a copula-function-based evidence theory model (2014, methodology): “By combining evidence theory and the traditional probability model, Du [38] created”
Unified Uncertainty Analysis by the First Order Reliability Method (2008, methodology): “13 A double-loop procedure with fully nested FORM (PA) and optimization (IA) is developed in [33].”
An efficient method for reliability analysis under epistemic uncertainty based on evidence theory and support vector regression (2015, methodology): “Du (2006) conducted a unified uncertainty analysis in which the effects of aleatory and epistemic mixed uncertainty on model outputs were modelled with Bel and Pl measures.”