An inverse analysis method for design optimization with both statistical and fuzzy uncertainties
By Liu Du, Kyung K. Choi. Design Automation Conference, 2008
59 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5c23d053f4ac9b974aa05eb770c770d373b57200
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In Civil and Structural Engineering
In Computational Theory and Mathematics
In Statistics and Probability
Citations in the corpus
- Reliability-based design optimization with confidence level under input model uncertainty due to limited test data (2011, methodology): “To deal with problems under physical and statistical uncertainties, the possibility-based design optimization (PBDO) that uses fuzzy sets to quantify the uncertain quantities has been proposed (Du and Choi 2008; Du et al. 2006).”
- Reliability-based structural optimization with probability and convex set hybrid models (2010, methodology): “Consequently, non-traditional uncertainty models, such as the fuzzy possibility model (Mourelatos and Zhou 2005; Du et al. 2006a), the fuzzy/statistical hybrid model (Moller and Beer 2004; Buckley 2005 ;D u et al.2006b; Du and Choi 2008 ) and the convex model (Ben-Haim and Elishakoff 1990; Elseifi ”