A Marine Oil-spilling Emergency Auxiliary Decision-making System Based on Case-based Reasoning

被引：0
|
作者：
Liu, Jiandao [1 ]
Zhu, Feixiang [1 ]
Zhang, Yingjun [1 ]
Yang, Xuefeng [1 ]
机构：
[1] Dalian Maritime Univ, Coll Nav, Dalian 116026, Peoples R China
来源：
2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2013年
关键词：
oil-spilling accidents; characteristic attribute; CBR; emergency decision-making;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to enhance the oil spill emergency response ability, this paper introduces the case-based reasoning (CBR) technology to improve existing solutions and presents the idea of a marine oil-spilling emergency auxiliary decision-making system based on CBR. This paper also designs a characteristic attribute hierarchical diagram for marine oil-spilling accidents. A case overall similarity algorithm with the case structural similarity and attribute similarity is used to realize the required case retrieval and matching automatically. A numerical example illustrates that the system is able to give a reasonable and scientific result, so it can help the relevant people to improve the decision-making efficiency.
引用
收藏
页码：1753 / 1757
页数：5
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