Fuzzy evidence theory and Bayesian networks for process systems risk analysis

Volume: 26, Issue: 1, Pages: 57 - 86
Published: Jan 2, 2020
Abstract
Quantitative risk assessment (QRA) approaches systematically evaluate the likelihood, impacts, and risk of adverse events. QRA using fault tree analysis (FTA) is based on the assumptions that failure events have crisp probabilities and they are statistically independent. The crisp probabilities of the events are often absent, which leads to data uncertainty. However, the independence assumption leads to model uncertainty. Experts’ knowledge can...
Paper Details
Title
Fuzzy evidence theory and Bayesian networks for process systems risk analysis
Published Date
Jan 2, 2020
Volume
26
Issue
1
Pages
57 - 86
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