A Bayesian framework for uncertainty formulation of engineering design process

M. Rajabalinejad, C. Spitas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 publicationWorld 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.
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages418-423
Number of pages6
ISBN (Print)9789814417730
DOIs
Publication statusPublished - 2012
Event10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Duration: Aug 26 2012Aug 29 2012

Publication series

NameWorld 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.
Volume7

Other

Other10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
CountryTurkey
CityIstanbul
Period8/26/128/29/12

ASJC Scopus subject areas

  • Software

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