Inverse Possibility Analysis Method for Possibility-Based Design Optimization
By Liu Du, Kyung K. Choi, Byeng Dong Youn. 2006
88 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/1c4e5673c7a3f3ea7272ad7219a8945ad75aa35b
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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).”
- An inverse analysis method for design optimization with both statistical and fuzzy uncertainties (2008, methodology): “The inverse analysis method based on the PMA is found to be very effective for RBDO and PBDO (Choi et al. 2005a, b; Du et al. 2006; Du and Choi 2006; Youn et al. 2001, 2004, 2005a, b; Youn and Choi 2004).”
- Reliability-based structural optimization with probability and convex set hybrid models (2010, methodology): “…as the fuzzy possibility model (Mourelatos and Zhou 2005; Du et al. 2006a), the fuzzy/statistical hybrid model (Möller and Beer 2004; Buckley 2005; Du et al. 2006b; Du and Choi 2008) and the convex model (Ben-Haim and Elishakoff 1990; Elseifi et al. 1999), have also been developed as alternative…”