Decision-making trial and evaluation laboratory (DEMATEL) analysis is an effective and comprehensive method for identifying accident factors and converting the relationships among them into a visual structural model. Traditionally, the mean value method is adopted to summarize the initial direct-relation matrix, but it ignores the errors caused by differences in expert knowledge. In addition, a single qualitative risk assessment may not be sufficiently comprehensive and persuasive. The qualitative risk assessment results may not play a complete role in helping industrial plants carry out safety management. Therefore, this study proposes a quantitative risk assessment model based on the cloud model (CM) called the fuzzy DEMATEL-CM. An assessment index model is established by identifying the hazards associated with a converter steelmaking system. Subsequently, fuzzy DEMATEL analysis is applied to determine the relationships among the assessment indices and calculate their weights. Then, the CM is utilized to calculate the risk levels of the assessment indices and determine the comprehensive risk level. Finally, a case study is introduced to verify the practicability and validity of this model, and it is observed that the model has a certain superiority in solving uncertain problems. The quantitative risk assessment results are helpful for preventing accidents to improve the reliability of converter steelmaking plants.

中文翻译：

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一种结合模糊DEMATEL和云模型的过程工业风险评估方法，以提高系统可靠性

决策试验与评估实验室（DEMATEL）分析是识别事故因素并将它们之间的关系转化为可视化结构模型的一种有效而综合的方法。传统上采用均值法对初始直接关系矩阵进行汇总，但忽略了专家知识差异导致的误差。此外，单一的定性风险评估可能不够全面和有说服力。定性的风险评估结果对帮助工业工厂进行安全管理可能没有完全发挥作用。因此，本研究提出了一种基于云模型（CM）的定量风险评估模型，称为模糊DEMATEL-CM。通过识别转炉炼钢系统的危害，建立评估指标模型。随后，应用模糊DEMATEL分析来确定评估指标之间的关系并计算它们的权重。然后利用CM计算评估指标的风险等级，确定综合风险等级。最后，通过案例研究验证了该模型的实用性和有效性，观察到该模型在解决不确定性问题方面具有一定的优越性。量化风险评估结果有助于预防事故发生，提高转炉炼钢厂的可靠性。引入案例研究验证了该模型的实用性和有效性，观察到该模型在解决不确定性问题方面具有一定的优越性。量化风险评估结果有助于预防事故发生，提高转炉炼钢厂的可靠性。引入案例研究验证了该模型的实用性和有效性，观察到该模型在解决不确定性问题方面具有一定的优越性。量化风险评估结果有助于预防事故发生，提高转炉炼钢厂的可靠性。