基于模糊证据推理的地铁深基坑施工风险评价

为科学地评估地铁深基坑施工风险,提出了一种基于模糊证据推理(FER)的地铁深基坑风险评估方法。首先,设置专家权重指标并归一化计算专家权重;然后,运用有效组合建立风险等级与模糊隶属函数的一一对应关系;最后,通过证据推理算法聚合所有危险事件的风险水平来评估地铁深基坑项目的总体风险水平。并通过南宁地铁5号线降桥站深基坑实例验证了该评价模型的科学可行性。

Some Insights in Novel Risk Modeling of Liquefied Natural Gas Carrier Maintenance Operations

This study discusses the analysis of various modeling approaches such as genetic algorithms, fuzzy logic and evidential reasoning, and maintenance techniques applicable to the liquefied natural gas （LNG） carrier operations in the maritime environment. The usefulness of these algorithms in the LNG carrier industry in the areas of risk assessment and maintenance modeling as a standalone or hybrid algorithm are identified. This is evidenced with illustrative case studies.