Sensitivity Analysis with Mixture of Epistemic and Aleatory Uncertainties
By Jia Guo, Xiaoping Du. 2007
133 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/73ac73e59be9017352088b7b7141f8ffc9659ad1
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In Computational Theory and Mathematics
In Statistics and Probability
Citations in the corpus
- Reliability sensitivity analysis for structural systems in interval probability form (2011, background): “He School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, China e-mail: hzhuang@uestc.edu.cn”
- An efficient method for the estimation of structural reliability intervals with random sets, dependence modeling and uncertain inputs (2014, methodology): “Also comparisons have been made between probabilistic and the alternative methods [34–36] or their combination has been explored [37–40].”
- Structural reliability analysis using a copula-function-based evidence theory model (2014, methodology): “,un) is an n-dimensional joint distribution function with marginal distributions that follow [0,1] uniform distribution; this copula function exhibits the following properties [51]:”
- An efficient method for reliability analysis under epistemic uncertainty based on evidence theory and support vector regression (2015, background): “To obtain engineering products with high reliability, it is indispensable and very important to quantify, control, and manage all kinds of uncertainties (Du and Chen 2000; Guo and Du 2007).”
- A Hybrid Reliability Approach Based on Probability and Interval for Uncertain Structures (2012, background): “[32–35], in which the evidence theory, possibility theory, fuzzy sets and also their hybrid models were investigated.”