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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 电子政务模拟仿真国家地方联合工程研究中心主任
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:信息与决策技术研究所
电子邮箱:yzwang@dlut.edu.cn
Emergency attribute significance ranking method based on information gain
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论文类型:会议论文
发表时间:2017-11-17
收录刊物:EI
卷号:780
页面范围:129-135
摘要:In emergency management, it is important to measure the significance of emergency attributes. This paper proposes a method for ranking the significance of attributes. Firstly, it builds the emergency decision table based on rough set theory. Secondly, it uses information gain to measure the objective significance of emergency attributes. Further, the information gain is combined with the prior knowledge of experts to rank the total significance of emergency attributes. This method could help decision-makers identify the significance of attributes, providing a support for the decision-makers to take emergency response measures. © 2017, Springer Nature Singapore Pte Ltd.