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Grey Assessment Model of Risks in Caused Factors of Ship Pilotage

机译：船舶飞行所造成因素灰色评估模型

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A quantitative analysis of the importance of ship piloting risk factors has been carried out through the use of time series data.A Grey Relational Analysis Model on vessel piloting risk factors has been put forward with the application of Grey Relational Analysis Method.Moreover,fuzzy function is taken in the analysis of relative risk factors,achieving the optimal relational coefficient of piloting risk factors,and finally obtaining the relational degree taxis.As indicated in the computing result of the model,Grey Relational Analysis can ensure results that are more practical.The quantitative analysis of ship transporting risks is one of the most important research issues.In the last twenty years,with the development of science and technology,upsizing,specialization,and automation of ships as well as the fast development of the marine technology,like the technology of piloting enable the ship to resist some kinds of risks,meanwhile cause new risks such as ship control.At the same time,increasingly large amount of ship transportation and dangerous goods transport brings potential threat to marine safety and environment.To control or lower the risk of ship piloting,it is necessary to analyze and evaluate ship piloting factors.We need improve traditional frequency analysis to fred how to use time series data to analyze the relations between ship risks,and to search for new set.The system of ship transporting risk factors is very complex.Generally speaking,there are no simple physical or mathematical models on factors.The inner relations are fuzzy and uncertain.They correspond with Grey System in aspects of relation,degree,and data collection.So the ship transporting accident system is a Grey System.The theory of Grey System to a certain degree overcomes the inaccuracy of percentage analysis and the need of a large number of samples of mathematical statistics analysis.It requires smaller amount of sample statistics and lower accuracy of information.So while using the above methodology to analyze,it is necessary to employ the theory of Grey System to evaluate ship piloting risk factors to get best results through the quantitative analysis on ship piloting risk factors.
机译：通过使用时间序列数据进行了对船舶驾驶危险因素的重要性的定量分析。通过应用灰色关系分析方法，已经提出了船舶船舶驾驶危险因素的灰色关系分析模型.Oore，模糊功能是在分析相对危险因素的分析中，实现了驾驶危险因素的最佳关系系数，最后获得了关系程度的出租车。在模型计算结果中表明，灰色关系分析可以确保更实用的结果。船舶运输风险的定量分析是最重要的研究问题之一。在过去的二十年中，随着科学技术的发展，船舶升迁，专业化和自动化以及海洋技术的快速发展，就像试点技术使船舶能够抵抗某种风险，同时导致船舶控制等新风险。同时，越来越大量的船舶运输和危险品运输带来了对海洋安全和环境的潜在威胁。控制或降低船舶船舶的风险，有必要分析和评估船舶试点因素。我们需要改善传统频率分析来弗雷德使用时间序列数据来分析船舶风险之间的关系，并搜索新的集合。运输风险因素的船舶系统非常复杂。出现的，没有简单的物理或数学模型。内部关系是模糊的不确定。他们在关系，程度和数据收集方面与灰色系统相对应。所以船舶运输事故系统是灰色系统。灰色系统理论克服了百分比分析的不准确性和大的需要数学统计分析的样本数量需要较少量的样品统计和更低的信息准确性。在使用AB时ove方法进行分析，有必要采用灰色系统理论来评估船舶驾驶危险因素，通过船舶驾驶因素的定量分析来获得最佳结果。

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