海盗袭击事件预警模型

孙茂金; 吕靖; 高天航; 孙小山

doi:10.16411/j.cnki.issn1006-7736.2018.03.005

大连海事大学学报 >

2018 , Vol. 44 >Issue 3: 28 - 32

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2018.03.005

海盗袭击事件预警模型

孙茂金 ,
吕靖 ,
高天航 ,
孙小山

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（1.大连海事大学交通运输工程学院,辽宁大连 116026;2.中国科学技术大学计算机学院，合肥 230026）

孙茂金（1981—），男，博士生，研究方向：海上非传统安全威胁.

收稿日期: 2018-03-22

修回日期: 2018-06-13

网络出版日期: 2024-06-27

基金资助

国家自然科学基金资助项目(71473023).

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An early warning model for pirate attacks

SUN Mao-jin ,
LV Jing ,
GAO Tian-hang ,
SUN Xiao-shan

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(1.Transportation Engineering College, Dalian Maritime University, Dalian 116026, China;2.College of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China)

Received date: 2018-03-22

Revised date: 2018-06-13

Online published: 2024-06-27

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摘要

构建一个科学的海盗袭击事件预警模型，可以在海盗袭击事件发生前给出预警信息，大幅降低运输船舶被海盗袭击的概率.采用决策树方法研究海盗袭击事件的严重程度与其他因素的相关性，并以此进行海上预警.以船舶类型、地理区域为模型输入数据，海盗袭击后果为模型输出数据，构建海盗袭击事件预警模型.以东非海域的海盗袭击事件为研究对象进行实例研究，并进行模型检验.结果表明，该方法获得的预测结果远优于随机猜测，证明了模型的有效性和科学性.

关键词： 船舶安全; 海盗袭击; 预警模型; 决策树

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孙茂金 , 吕靖 , 高天航 , 孙小山 . 海盗袭击事件预警模型[J]. 大连海事大学学报, 2018 , 44(3) : 28 -32 . DOI: 10.16411/j.cnki.issn1006-7736.2018.03.005

Abstract

A scientific early warning model for pirate attack was built, which can give early warning information before the pirate attack, and greatly reduce the probability of the ship being attacked by pirates. The decision tree method was used to study the correlation between the severity of piracy attacks and other factors, so as to conduct maritime early warning. Taking ship type and geographical area as model input data and pirate attack consequence as model output data, a pirate attack early warning model was constructed. The case study of pirate attacks in East Africa was conducted and model checking was carried out. Results show that the prediction result obtained by this method is much better than that of random guess, which proves the validity and scientificity of the model.

Key words： ship security; pirates attack; early warning model; decision tree

参考文献

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