Abstract
Uncertainties in the design process are investigated in this paper. A formal Bayesian method is presented for designers to quantify uncertainties in design process. The uncertainties are implemented in a decision support system that plays a key role in design of complex projects where a large and multidisciplinary team of engineers are involved. The proposed method produces the probability distribution function of the model score or uncertainty. Two example applications for design and empirical demonstrate application of the method.
| Original language | English |
|---|---|
| Title of host publication | World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf. |
| Pages | 418-423 |
| Number of pages | 6 |
| Volume | 7 |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey Duration: Aug 26 2012 → Aug 29 2012 |
Other
| Other | 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 |
|---|---|
| Country | Turkey |
| City | Istanbul |
| Period | 8/26/12 → 8/29/12 |
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ASJC Scopus subject areas
- Software
Cite this
A Bayesian framework for uncertainty formulation of engineering design process. / Rajabalinejad, M.; Spitas, C.
World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. Vol. 7 2012. p. 418-423.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A Bayesian framework for uncertainty formulation of engineering design process
AU - Rajabalinejad, M.
AU - Spitas, C.
PY - 2012
Y1 - 2012
N2 - Uncertainties in the design process are investigated in this paper. A formal Bayesian method is presented for designers to quantify uncertainties in design process. The uncertainties are implemented in a decision support system that plays a key role in design of complex projects where a large and multidisciplinary team of engineers are involved. The proposed method produces the probability distribution function of the model score or uncertainty. Two example applications for design and empirical demonstrate application of the method.
AB - Uncertainties in the design process are investigated in this paper. A formal Bayesian method is presented for designers to quantify uncertainties in design process. The uncertainties are implemented in a decision support system that plays a key role in design of complex projects where a large and multidisciplinary team of engineers are involved. The proposed method produces the probability distribution function of the model score or uncertainty. Two example applications for design and empirical demonstrate application of the method.
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UR - http://www.scopus.com/inward/citedby.url?scp=84892647189&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9789814417730
VL - 7
SP - 418
EP - 423
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
ER -