Survey of Four Uncertainty Quantifications Methods in Systems Engineering

Ehsan Salimi; Andrea H. Cadenbach; Ali E. Abbas; Andrea Hupman

doi:10.1007/978-3-319-62217-0_66

Survey of Four Uncertainty Quantifications Methods in Systems Engineering

Ehsan Salimi, Andrea H. Cadenbach, Ali E. Abbas, Andrea Hupman

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Abstract

Uncertainty is an inherent property of engineering systems. Many methods for quantifying uncertainty have been proposed and applied to systems engineering. In this paper, we survey some of the literature on uncertainty quantification and comment on some criticisms of various approaches. We specifically focus on four selected methods: Monte Carlo simulation, cross entropy methods, fuzzy theory, and evidence theory.

Original language	American English
Journal	Default journal
DOIs	https://doi.org/10.1007/978-3-319-62217-0_66
State	Published - Jan 1 2018

Keywords

Probability
Systems engineering
Uncertainty quantification

Disciplines

Systems Engineering
Mathematics

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10.1007/978-3-319-62217-0_66License: Unspecified

Cite this

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abstract = " Uncertainty is an inherent property of engineering systems. Many methods for quantifying uncertainty have been proposed and applied to systems engineering. In this paper, we survey some of the literature on uncertainty quantification and comment on some criticisms of various approaches. We specifically focus on four selected methods: Monte Carlo simulation, cross entropy methods, fuzzy theory, and evidence theory. ",

keywords = "Probability, Systems engineering, Uncertainty quantification",

author = "Ehsan Salimi and Cadenbach, {Andrea H.} and Abbas, {Ali E.} and Andrea Hupman",

note = "Ehsan Salimi Andrea H. Cadenbach Ali E. Abbas Uncertainty is an inherent property of engineering systems. Many methods for quantifying uncertainty have been proposed and applied to systems engineering. In this paper, we survey some of the literature on uncertainty quantification and comment on some criticisms of various approaches.",

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AU - Cadenbach, Andrea H.

AU - Abbas, Ali E.

AU - Hupman, Andrea

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PY - 2018/1/1

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N2 - Uncertainty is an inherent property of engineering systems. Many methods for quantifying uncertainty have been proposed and applied to systems engineering. In this paper, we survey some of the literature on uncertainty quantification and comment on some criticisms of various approaches. We specifically focus on four selected methods: Monte Carlo simulation, cross entropy methods, fuzzy theory, and evidence theory.

AB - Uncertainty is an inherent property of engineering systems. Many methods for quantifying uncertainty have been proposed and applied to systems engineering. In this paper, we survey some of the literature on uncertainty quantification and comment on some criticisms of various approaches. We specifically focus on four selected methods: Monte Carlo simulation, cross entropy methods, fuzzy theory, and evidence theory.

KW - Probability

KW - Systems engineering

KW - Uncertainty quantification

UR - https://link.springer.com/content/pdf/10.1007%2F978-3-319-62217-0_66.pdf

UR - https://link.springer.com/chapter/10.1007/978-3-319-62217-0_66

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M3 - Article

JO - Default journal

JF - Default journal

ER -

Survey of Four Uncertainty Quantifications Methods in Systems Engineering

Abstract

Keywords

Disciplines

Access to Document

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