Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory
Author:
Affiliation:
1. Grenoble Alpes University, G-SCOP Laboratory, Grenoble, F-38000France.
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1184348
Reference50 articles.
1. Modeling uncertainty in risk assessment: An integrated approach with fuzzy set theory and Monte Carlo simulation
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3. Some reflections on uncertainty analysis and management
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5. Proposal of a risk-factor-based analytical approach for integrating occupational health and safety into project risk evaluation
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