Empirical Comparison of Two Methods for the Bayesian Update of the Parameters of Probability Distributions in a Two-Level Hybrid Probabilistic-Possibilistic Uncertainty Framework for Risk Assessment-Reference-Cited by-同舟云学术

Empirical Comparison of Two Methods for the Bayesian Update of the Parameters of Probability Distributions in a Two-Level Hybrid Probabilistic-Possibilistic Uncertainty Framework for Risk Assessment

Published:2016-03 Issue:1 Volume:2 Page:04015015
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Pedroni N.¹,Zio E.²,Pasanisi A.³,Couplet M.⁴

Affiliation:

1. Assistant Professor. Chair of System Science and the Energetic Challenge-Fondation EdF at CentraleSupélec, 3 Rue Joliot Curie—Plateau de Moulon, 91190 Gif-Sur-Yvette, France (corresponding author).

2. Full Professor at the Chair of System Science and the Energetic Challenge-Fondation EdF at CentraleSupélec, Grande Voie des Vignes, 92290 Chatenay-Malabry, France; Dept. of Energy, Politecnico di Milano, via Ponzio, 34/3, 20133 Milano, Italy.

3. Project Manager, EDF R&D—EIFER, Emmy-Noether-Str. 11, 76131 Karlsruhe, Germany.

4. Research Engineer, Electricité de France, R&D, 6 Quai Watier, 78400 Chatou, France.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0000848

Reference135 articles.

1. Conversion of probabilistic information into fuzzy sets for engineering decision analysis

2. The Concept of Probability in Safety Assessments of Technological Systems

3. Pitfalls in risk calculations

4. On the Need for Restricting the Probabilistic Analysis in Risk Assessments to Variability

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