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Yang, Fuqiang (author), Li, Xin (author), Yuan, S. (author), Reniers, G.L.L.M.E. (author)
Targeting the challenges in the risk analysis of laboratory fire accidents, particularly considering fire accidents in Chinese universities, an integrated approach is proposed with the combination of association rule learning, a Bayesian network (BN), and fuzzy set theory in this study. The proposed approach has the main advantages of deriving...
journal article 2023
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Zhou, Jianfeng (author), Reniers, G.L.L.M.E. (author)
A fire accident is one the most dangerous accidents that may lead to knock-on effects, especially in the plants dealing with large quantities of hazardous substances. Different from other accidents, e.g., explosions, fires can last certain period of time and the thermal radiations emitted by them have a synergistic effect. At the same time, the...
journal article 2022