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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
基于距离熵的应急决策层信息融合方法
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论文类型:期刊论文
发表时间:2022-06-29
发表刊物:系统工程理论与实践
卷号:35.0
期号:1
页面范围:216-227
ISSN号:1000-6788
摘要:With analysis of the features of decision-making information fusion and actual emergency decision making, this paper presents a decision-making information fusion method based on distance entropy according to the demand for objectivity and scientificity. Firstly, the fusion set is acquired and stored based on knowledge unit model. Secondly, the information units are formed through instantiating knowledge units, which can provide information support for the fusion. Afterwards, the concept of distance entropy is proposed with an element of distance added into the traditional entropy weight method. Thus, we can obtain both local and global fusion weight, finally to gain the global fusion results using the way of linear weighting. Furthermore, the application value and effectiveness of this method are illustrated by empirical analysis. Experimental analysis show that the proposed method can solve problems of the hugeness of knowledge base and improve the objectivity and scientificity of fusion results in decision-making information fusion. ©, 2015, Systems Engineering Society of China. All right reserved.
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