Bayesian update with fuzzy information

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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Externe Organisationen

  • The University of Liverpool
  • National University of Singapore
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Details

OriginalspracheEnglisch
Titel des SammelwerksTransportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability
Herausgeber (Verlag)American Society of Mechanical Engineers(ASME)
Seiten821-829
Seitenumfang9
ISBN (Print)9780791854952
PublikationsstatusVeröffentlicht - 2011
Extern publiziertJa
VeranstaltungASME 2011 International Mechanical Engineering Congress and Exposition (IMECE 2011) - Denver, Denver, CO, USA / Vereinigte Staaten
Dauer: 11 Nov. 201117 Nov. 2011

Publikationsreihe

NameASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011
Band9

Abstract

A realistic quantification of all input information is a basic requirement in order to obtain useful results from engineering analyses. The concept of quantification and the associated uncertainty model have to be selected in agreement with the amount and quality of the available information. For inconsistent information, a distinction between probabilistic and nonprobabilistic characteristics is beneficial. In this distinction, uncertainty refers to probabilistic characteristics and nonprobabilistic characteristics are summarized as imprecision. When uncertainty and imprecision occur simultaneously, the uncertainty model fuzzy randomness appears useful. In this paper, the fuzzy probabilistic model is utilized in a Bayesian approach to take account of imprecision in data and in prior expert knowledge. The propagation of imprecision and uncertainty is investigated for selected cases. The Bayesian approach extended to inconsistent information is demonstrated by means of an example.

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Bayesian update with fuzzy information. / Beer, Michael; Stein, Matthias.
Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability. American Society of Mechanical Engineers(ASME), 2011. S. 821-829 (ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011; Band 9).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Beer, M & Stein, M 2011, Bayesian update with fuzzy information. in Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability. ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011, Bd. 9, American Society of Mechanical Engineers(ASME), S. 821-829, ASME 2011 International Mechanical Engineering Congress and Exposition (IMECE 2011), Denver, CO, USA / Vereinigte Staaten, 11 Nov. 2011. https://doi.org/10.1115/imece2011-62424
Beer, M., & Stein, M. (2011). Bayesian update with fuzzy information. In Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability (S. 821-829). (ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011; Band 9). American Society of Mechanical Engineers(ASME). https://doi.org/10.1115/imece2011-62424
Beer M, Stein M. Bayesian update with fuzzy information. in Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability. American Society of Mechanical Engineers(ASME). 2011. S. 821-829. (ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011). doi: 10.1115/imece2011-62424
Beer, Michael ; Stein, Matthias. / Bayesian update with fuzzy information. Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability. American Society of Mechanical Engineers(ASME), 2011. S. 821-829 (ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011).
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