EMPIRICAL COMPARISON OF METHODS FOR THE HIERARCHICAL PROPAGATION OF HYBRID UNCERTAINTY IN RISK ASSESSMENT, IN PRESENCE OF DEPENDENCES

DOI10.1142/S0218488512500250zbMath1251.62005OpenAlexW2162517559MaRDI QIDQ4650067

Nicola Pedroni, Enrico Zio

Publication date: 15 November 2012

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488512500250

zbMATH Keywords

possibility distributionsfuzzy interval analysisepistemic uncertaintiesaleatory uncertaintiesdependency bound convolutiontwo-dimensional Monte Carlo method

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Fuzzy analysis in statistics (62A86)

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A new method of level-2 uncertainty analysis in risk assessment based on uncertainty theory

Cites Work

• Unnamed Item
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• Equivalence of methods for uncertainty propagation of real-valued random variables
• Representing parametric probabilistic models tainted with imprecision
• Computing lower and upper expectations under epistemic independence
• Probabilistic arithmetic. I: Numerical methods for calculating convolutions and dependency bounds
• Independence concepts in evidence theory
• Joint propagation of probability and possibility in risk analysis: towards a formal framework
• Risk tolerance measure for decision-making in fuzzy analysis: a health risk assessment perspective
• Possibility theory and statistical reasoning
• Practical representations of incomplete probabilistic knowledge
• A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory
• Best-possible bounds for the distribution of a sum -- a problem of Kolmogorov
• The mean value of a fuzzy number
• Independence concepts in possibility theory. I
• Independence concepts in possibility theory: II
• Belief function independence: I. The marginal case
• Epistemic independence in numerical possibility theory.
• Belief function independence. II: The conditional case.
• Probability-possibility transformations, triangular fuzzy sets, and probabilistic inequalities
• A definition of subjective possibility
• Possibility theory: conditional independence
• Probabilistic-fuzzy health risk modeling
• 2D Monte Carlo versus 2D fuzzy Monte Carlo health risk assessment
• POSSIBILITY THEORY III: POSSIBILISTIC INDEPENDENCE
• Fuzzy randomness – a contribution to imprecise probability
• Fuzzy sets