Competing Failure Risk Analysis Using Evidence Theory

Keywords

Context (archaeology), Representation (politics), Probability theory, Computer science, Risk analysis (engineering)

References

• The anatomy of the squizzel: The role of operational definitions in representing uncertaintyRoger Cooke — 2004
• Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer BeliefSerafı́n Moral, Nic Wilson — 1994
• A Mathematical Theory of HintsJürg Kohlas, Paul-André Monney — 1995
• On the fundamentals of fuzzy sets.R. Löwen — 1984
• Probabilistic Risk AnalysisAsit P. Basu — 2002
• Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and InputsAlison C. Cullen, H. Christopher Frey — 1999
• Reliability and Safety Analyses under FuzzinessTakehisa Onisawa, Janusz Kacprzyk — 1995
• Representing Uncertain Knowledge: An Artificial Intelligence AproachDAVID SAUNDERS — 1994
• Scoring rules and the inevitability of probabilityD. V. Lindley — 1982
• A Mathematical Theory of Hints: An Approach to the Dempster-Shafer Theory of EvidenceJürg Kohlas, Paul-André Monney — 1995
• Evidence Theory and Its ApplicationsJiwen Guan, D. A. Bell — 1991
• Self-Conditional Probabilities and Probabilistic Interpretations of Belief FunctionsRoger Cooke, Philippe Smets — 2001
• Review of Saltelli, A. & Chan, K. & E.M.Scott (Eds) (2000), Sensitivity analysis. Wiley (2000)M.J.W. Jansen — 2001
• Methods and applications of interval analysisRamon E. Moore — 1979
• Probabilistic analysis of belief functionsIvan Kramosil — 2001
• A possibilistic hierarchical model for behaviour under uncertaintyGert de Cooman, Peter Walley — 2002
• On Measuring Uncertainty and Uncertainty-Based Information: Recent DevelopmentsGeorge J. Klir, Richard M. Smith — 2001
• Fuzzy Set Theory: Foundations and ApplicationsGeorge J. Klir, Ute St. Clair, Bo Yuan — 1997
• Uncertainty-based information: Elements of generalized information theory (studies in fuzziness and soft computing).George J. Klir, Mark J. Wierman, Janusz Kacprzyk — 1998
• Combination of Evidence in Dempster-Shafer TheoryKari Sentz, Scott Ferson — 2002

Cited by

• Non deteriministic planning with evidence and paradoxical reasoning theoriesMatteo Ceriotti, Massimiliano Vasile, Giovanni Giardini — 2006
• Verification and Validation in Scientific ComputingWilliam L. Oberkampf, Christopher J. Roy — 2010
• Forecasting of isothermal enhanced oil recovery (EOR) and waterflood processesAlireza Mollaei — 2011
• Quantification of margins and uncertainties: Alternative representations of epistemic uncertaintyJ.C. Helton, Jay Johnson — 2011
• A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theoryJ.C. Helton, James D. Johnson, William L. Oberkampf — 2007
• Quantification of model-form and parametric uncertainty using evidence theoryInseok Park, Ramana V. Grandhi — 2012
• Sensitivity analysis in conjunction with evidence theory representations of epistemic uncertaintyJ.C. Helton, Jay Johnson, William L. Oberkampf — 2006
• Probability of loss of assured safety in temperature dependent systems with multiple weak and strong linksJay Johnson, William L. Oberkampf, J.C. Helton — 2006
• Application and variance based sensitivity analysis of surfactant-polymer flooding using modified chemical flood predictive modelAlireza Mollaei, Larry W. Lake, Mojdeh Delshad — 2011
• A non-deterministic planner for planetary rover autonomyMatteo Ceriotti, Massimiliano Vasile, Giovanni Giardini — 2006
• The impact of reliability data on probabilistic safety calculationsUlrich Hauptmanns — 2008
• Probabilistic bounding analysis in the Quantification of Margins and UncertaintiesKari Sentz, Scott Ferson — 2011
• Identification of influential parameters through sensitivity analysis of the TOUGH + Hydrate model using LH-OAT samplingJunyi Huang, Jun Xu, Zhen Xia — 2015
• Coupled hydro-mechanical fault reactivation analysis incorporating evidence theory for uncertainty quantificationLeonardo Pereira, Leonardo José do Nascimento Guimarães, Bernardo Horowitz — 2014
• Verification test problems for the calculation of probability of loss of assured safety in temperature-dependent systems with multiple weak and strong linksJay Johnson, William L. Oberkampf, J.C. Helton — 2007
• Quantification of margins and mixed uncertainties using evidence theory and stochastic expansionsHarsheel Shah, Serhat Hosder, Tyler Winter — 2014
• A Systems‐Based Approach for Supporting Discourse in Decision MakingE Marashi, J. P. Davis — 2007
• Sensitivity in risk analyses with uncertain numbers.Warwick Tucker, Scott Ferson — 2006
• Projecting uncertainty through black boxesScott Ferson, Владик Крейнович — 2008
• Quantification of Multiple Types of Uncertainty in Physics-Based SimulationInseok Park — 2012

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