Evaluation Model of Maritime Search and Rescue Response Capability

被引:1
作者
Zhang, Ke [1 ]
Hao, Guozhu [1 ]
Tian, Yanfei [1 ]
Huang, Liwen [1 ]
Xie, Cheng [1 ]
Zhu, Jingjun [2 ]
机构
[1] Wuhan Univ Technol, Sch Nav, Hubei Key Lab Inland Shipping Technol, Wuhan 430063, Peoples R China
[2] Anhui Zhong Ao Inst Technol, Dept Int Business, Hefei 230000, Peoples R China
来源
2019 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2019) | 2019年
关键词
maritime search and rescue; emergency management; grey cloud model; IAHP; CRITIC;
D O I
10.1109/ictis.2019.8883768
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Considering the problems of randomness and fuzziness in evaluating indexes from maritime search and rescue response capability system, a novel method based on subjective-objective attribute weights integrated and center normal grey cloud method was presented. Firstly, cloud theory was introduced to transform the uncertainty of factors into quantitative digital features, to achieve the qualitative indicators of quantitative processing. Secondly, the improved analytic hierarchy process(IAHP) and criteria improved through inter-criteria correlation(CRITIC) were used respectively to determine the subjective and objective weights. The comprehensive weights were thus obtained through the relative information entropy principle. Thirdly, grey cloud method was used to make the second level evaluation indexs to get the assessment of maritime search and rescue response capability. And on the basis of that, the maritime search and rescue response capability evaluation results was obtained. Finally, the model was evaluated on three ports and the results showed the IAHP-CRITIC combination weighting method can effectively integrate the subjective and objective weights information. Compared with the other traditional models, our proposed model in this paper is closer to the actual situation which can comprehensively consider grey, fuzziness and randomness in the evaluation process. The above illustrative example analysis shows the effectiveness and feasibility of this method.
引用
收藏
页码:155 / 160
页数:6
相关论文
共 15 条
[1]  
[Anonymous], 2015, THESIS
[2]  
Bao X.X., 2017, J SHIP MECH, V21, P339
[3]   An artificial neural network approach to the classification of galaxy spectra [J].
Folkes, SR ;
Lahav, O ;
Maddox, SJ .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1996, 283 (02) :651-665
[4]  
[黄志球 Huang Zhiqiu], 2014, [中国航海, Journal of Navigation of China], V37, P72
[5]  
Liu X. J., 2018, J CHONGQING JIAOTONG, V37, P21
[6]  
Pan J. C., 2004, THESIS
[7]   RISK ASSESSMENT OF NAUTICAL NAVIGATIONAL ENVIRONMENT BASED ON GREY FIXED WEIGHT CLUSTER [J].
Tian, Yanfei ;
Sun, Xuecheng ;
Chen, Lijia ;
Huang, Liwen .
PROMET-TRAFFIC & TRANSPORTATION, 2017, 29 (03) :331-342
[8]   Grey Cloud Model and Its Application in Intelligent Decision Support System Supporting Complex Decision [J].
Wang, Hong-li .
2008 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL 1, PROCEEDINGS, 2008, :542-546
[9]  
Wu C. J., 2011, REPORT DEV CLOUD COM
[10]  
Wu Z.X., 2015, J SHANGHAI MARITIME, V36, P50