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Uncertainty quantification using evidence theory in multidisciplinary design optimization · Study

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ArticleUncertainty quantification using evidence theory in multidisciplinary design optimization

Harish Agarwal2004

Article2004

Uncertainty quantification using evidence theory in multidisciplinary design optimization

Harish Agarwal · John E. Renaud · Evan L. Preston · Dhanesh Padmanabhan

324 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Risk and Safety Analysis Advanced Multi-Objective Optimization Algorithms

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References

1993Fuzzy Set Theory and Its Applications 2002Combination of Evidence in Dempster-Shafer Theory 1994Advances in the Dempster-Shafer theory of evidence 2001Reliability analysis—a review and some perspectives 1991Fuzzy set theory- and its applications 2003Hybrid Analysis Method for Reliability-Based Design Optimization 2004Challenge problems: uncertainty in system response given uncertain parameters

Cited by

2011Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis 2010Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations 2008Unified Uncertainty Analysis by the First Order Reliability Method 2005Reliability-Based Design With the Mixture of Random and Interval Variables 2019Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty 2009Reliability sensitivity analysis with random and interval variables 2011

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Year2004

Typearticle

Published2004-04-28

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations324

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2004.03.017

openalex_workW2011541053

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Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data

2013A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty