A Bayesian framework for uncertainty formulation of engineering design proces

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    22 Downloads (Pure)

    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 languageUndefined
    Title of host publicationUncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference, Istanbul, Turkey, 26–29 August 2012
    EditorsCengiz Kahraman, Etienne Kerre, Faik Tunc Bozbura
    PublisherWorld Scientific
    Pages418-423
    ISBN (Print)9789814417730
    DOIs
    Publication statusPublished - 2012

    Publication series

    NameWorld Scientific Proceedings Series on Computer Engineering and Information Science
    PublisherWorld Scientific Publishing
    Volume7

    Keywords

    • IR-89051

    Cite this

    Rajabali Nejad, M., & Spitas, C. (2012). A Bayesian framework for uncertainty formulation of engineering design proces. In C. Kahraman, E. Kerre, & F. T. Bozbura (Eds.), Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference, Istanbul, Turkey, 26–29 August 2012 (pp. 418-423). (World Scientific Proceedings Series on Computer Engineering and Information Science; Vol. 7). World Scientific. https://doi.org/10.1142/9789814417747_0067