Applied Bayesian Network Risk Assessment for Collision Accidents between Fishing Vessels and Cargo Vessels

T. Shinoda, Kazuhiro Shimogawa, Yuka Tamura
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引用次数: 1

Abstract

In this paper , an analytical methodology ofrisk assessrnent is proposed according to the guidelines fbr FSA ( Formal Safety Assessment ) approved by IMO . And the cellision accidents between fishing yessels and cargo ves − sels , having their high 丘 equency and their enormous damages , are taken as analytical apPlicatien . EspeciaUy in the process ofrisk analysis , Bayesian network theory has been applied to clarify a causal relationship . And 孟 n the process of evaluation of RCO ( Risk Control Option ) , evaluation methodolegy which is applied Bayesian netWork theory are created . And , trial evaluation of RCOs fbr collision between fishing vessel a 皿 d cargo vessel are at − tempted through calculating of dominance index which is defined to evaluate an effectiveness ofRCO against this type of accident , Furthermore , trial cost benefit analysis for RCOs are considered through GCAF ( Gross Cost of Averting Fatality ) in FSA .
应用贝叶斯网络进行渔船与货船碰撞事故风险评估
本文根据国际海事组织批准的fbr FSA(正式安全评估)指南,提出了一种风险评估的分析方法。并以渔船与货轮碰撞事故发生频率高、损失大的特点作为分析应用。特别是在风险分析过程中,贝叶斯网络理论被应用于阐明因果关系。在对RCO (Risk Control Option,风险控制选项)进行评价的过程中,提出了应用贝叶斯网络理论的评价方法。并通过计算优势指数对渔船与货轮碰撞时的rco进行了试验评估,优势指数的定义是评估rco对此类事故的有效性,此外,通过FSA中的GCAF(避免死亡总成本)考虑了rco的试验成本效益分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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