Modeling uncertainty in preliminary design: A short review

A. C. Butler, G. R. Coates, S. S. Rao, F. Sadeghi, S. R. LeClair

Research output: Contribution to conferencePaperpeer-review

Abstract

Several mathematical theories exist for modeling uncertainty, and this paper explores the use of three different techniques for modeling judgment in preliminary engineering design. The relative advantages and disadvantages of each theory are discussed from an applied perspective based on experience with prototype systems. These techniques include the Dempster-Shafer theory, Bayesian Belief Networks, and Fuzzy Systems. Additionally, the relative merits and limitations of each technique are discussed in a qualitative manner drawing on experience gained with each model. Conclusions are drawn about the effectiveness of these techniques for representing uncertainty in preliminary engineering design.

Original languageEnglish (US)
Pages371-388
Number of pages18
StatePublished - Dec 1 1995
Externally publishedYes
EventProceedings of the 1995 ASME Design Engineering Technical Conference - Boston, MA, USA
Duration: Sep 17 1995Sep 20 1995

Conference

ConferenceProceedings of the 1995 ASME Design Engineering Technical Conference
CityBoston, MA, USA
Period9/17/959/20/95

ASJC Scopus subject areas

  • Engineering(all)

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