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A Bayesian framework for uncertainty formulation of engineering design proces

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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 languageEnglish
Title of host publicationUncertainty Modeling in Knowledge Engineering and Decision Making
Subtitle of host publicationProceedings 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
Externally publishedYes
Event10th International FLINS Conference - Istanbul
Duration: 26 Aug 201229 Aug 2012

Publication series

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

Conference

Conference10th International FLINS Conference
Period26/08/1229/08/12
Other26-29 August 2012

Keywords

  • n/a OA procedure

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