@inproceedings{17b4bf9748c44519ab97e63a2f76f59b,
title = "A Bayesian framework for uncertainty formulation of engineering design process",
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.",
author = "M. Rajabalinejad and C. Spitas",
year = "2012",
doi = "10.1142/9789814417747_0067",
language = "English",
isbn = "9789814417730",
series = "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.",
publisher = "World Scientific Publishing Co. Pte Ltd",
pages = "418--423",
booktitle = "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.",
address = "Singapore",
note = "10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 ; Conference date: 26-08-2012 Through 29-08-2012",
}