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Comparison of evidence theory and Bayesian theory for uncertainty modeling · Study

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ArticleComparison of evidence theory and Bayesian theory for uncertainty modeling

Prabhu Soundappan2004

Article2004

Comparison of evidence theory and Bayesian theory for uncertainty modeling

Prabhu Soundappan · Efstratios Nikolaidis · Raphael T. Haftka · Ramana V. Grandhi · Robert A. Canfield

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

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Multi-Criteria Decision Making Risk and Safety Analysis Probabilistic and Robust Engineering Design

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References

2017Structural Reliability Analysis and Prediction 1977A mathematical theory of evidence 2002Combination of Evidence in Dempster-Shafer Theory 2004Challenge problems: uncertainty in system response given uncertain parameters 1999Uncertainty-Based Information 2001Information-gap decision theory : decisions under severe uncertainty 2000Unified Approach to Probabilistic and Possibilistic Analysis of Uncertain Systems 1990Uncertainties in system analysis: Probabilistic versus nonprobabilistic theories

Cited by

2010Uncertainty analysis using evidence theory – confronting level-1 and level-2 approaches with data availability and computational constraints 2016An evidential analysis of Altman Z -score for financial predictions: Case study on solar energy companies 2013Sequential Optimization and Mixed Uncertainty Analysis Method for Reliability-Based Optimization 2013Evidence-theory-based structural static and dynamic response analysis under epistemic uncertainties 2010Prediction of uncertain frequency response function bounds using polynomial chaos expansion

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Details

Year2004

Typearticle

Published2004-04-13

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations107

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.ress.2004.03.018

openalex_workW1996685122

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2017Structural reliability analysis under evidence theory using the active learning kriging model

2015An efficient hybrid reliability analysis method with random and interval variables

2021Evidence-Theory-Based Reliability Analysis Through Kriging Surrogate Model