Application of the Grey Clustering Evaluation Model in Risk Level Assessment of Merchant Ships

被引:0
作者
Li, Feng [1 ]
Yi, Hong [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China
来源
MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING, MMESE 2018 | 2019年 / 527卷
关键词
Risk level; Grey clustering; Whitenization; Risk index;
D O I
10.1007/978-981-13-2481-9_74
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increasing numbers of merchant ships voyaging all over the world, a rise in maritime accidents emerges. As a consequence, it is necessary to assess the risk level of ships. In this article, a ship risk level assessment method is constructed, which is based on the grey clustering evaluation model. The major risk index is divided into three groups: ship/management, environment and crew. Meanwhile, the grey level of risk is low risk, moderate risk and high risk. The whitenization weight functions of different grey level are established by the grey clustering evaluation model. By using this model, the effectiveness of the method has been validated through practical cases.
引用
收藏
页码:637 / 645
页数:9
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