@inbook{d6c086ec69e54903a234f529f8df8603,
title = "A Bayesian framework for uncertainty formulation of engineering design proces",
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.",
keywords = "IR-89051",
author = "{Rajabali Nejad}, Mohammadreza and C. Spitas",
year = "2012",
doi = "10.1142/9789814417747_0067",
language = "Undefined",
isbn = "9789814417730",
series = "World Scientific Proceedings Series on Computer Engineering and Information Science",
publisher = "World Scientific",
pages = "418--423",
editor = "Cengiz Kahraman and Etienne Kerre and Bozbura, {Faik Tunc}",
booktitle = "Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference, Istanbul, Turkey, 26–29 August 2012",
address = "United States",
note = "null ; Conference date: 26-08-2012 Through 29-08-2012",
}