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 ope...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.展开更多
针对联合作战指挥体系效能评估面临的2个难点,即如何对指挥体系这个复杂巨系统进行建模分析,以及如何解决效能评估过程中遇到的评估指标类型多样和评估信息不完全等问题。首先,借助体系结构方法在复杂系统建模方面的优势,运用统一架构框...针对联合作战指挥体系效能评估面临的2个难点,即如何对指挥体系这个复杂巨系统进行建模分析,以及如何解决效能评估过程中遇到的评估指标类型多样和评估信息不完全等问题。首先,借助体系结构方法在复杂系统建模方面的优势,运用统一架构框架(Unified Architecture Framework,UAF)对指挥体系进行建模,以UAF视图模型为基础构建了评估指标体系;然后,利用基于证据推理算法的信度规则库推理方法(belief Rule-base Inference Methodology using the Evidential Reasoning,RIMER),通过综合专家经验、相关历史知识和仿真结果等信息构建了效能评估信度规则库,将不同类型的不确定性指标数据转换为信度结构来计算指挥体系的效能水平;最后,通过示例验证了方法的有效性。展开更多
文摘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.
文摘针对联合作战指挥体系效能评估面临的2个难点,即如何对指挥体系这个复杂巨系统进行建模分析,以及如何解决效能评估过程中遇到的评估指标类型多样和评估信息不完全等问题。首先,借助体系结构方法在复杂系统建模方面的优势,运用统一架构框架(Unified Architecture Framework,UAF)对指挥体系进行建模,以UAF视图模型为基础构建了评估指标体系;然后,利用基于证据推理算法的信度规则库推理方法(belief Rule-base Inference Methodology using the Evidential Reasoning,RIMER),通过综合专家经验、相关历史知识和仿真结果等信息构建了效能评估信度规则库,将不同类型的不确定性指标数据转换为信度结构来计算指挥体系的效能水平;最后,通过示例验证了方法的有效性。
