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浙江大学学报(工学版)
自动化技术、通信工程     
混合缺失信息集结下的属性赋权方法
王昱, 傅莉, 梁宵, 李勇
1. 沈阳航空航天大学 自动化学院, 辽宁 沈阳 110136;
2. 沈阳工业大学 电气工程学院, 辽宁 沈阳 110870
Attribute weights-given method under aggregation of hybrid and deficient information
WANG Yu, FU Li, LIANG Xiao, LI Yong
1. School of Automation, Shenyang Aerospace University, Shenyang 110136, China;
2. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
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摘要:

针对数据缺失的多类型评价信息混合集结问题,提出信息的一致性插补方法并建立插补优化模型,给出各类信息Mass函数统一转换方法.提出基于信息不完全折扣因子、Pignistic概率距离和顺序贴近度的专家权重计算方法,确定Mass函数修正因子.应用Dempster组合规则融合属性权重,形成一种基于缺失信息插补和证据理论的属性赋权方法.仿真算例表明,该方法对专家信息重要性的考量标准不仅取决于属性评价信息的数据相似度,而且增加了信息数值排列顺序的贴近性以及专家所提供信息的完整程度,提高了属性权重计算的合理性.仿真结果验证了该方法的有效性.

Abstract:

An attribute weights-given method was proposed based on the interpolation of deficient information and evidence theory, aiming at the hybrid aggregation problem of multi-type evaluation information with deficient data. First, an information consistency interpolation method was put forward; the interpolation optimization model was established; a unified conversion method of Mass function was given. Then, the expert weights calculation method was proposed to determine the amending factor of Mass function based on the incomplete information discount factor and the closeness degree with Pignistic probability distance and sequence. Finally, Demspter rule was applied to combine the attribute weights. Simulation example shows that the consideration criterion to the importance of expert information not only rests on the data similarity of attribute evaluation information, but also the closeness of data numerical order and the completeness extent of information. Therefore, the rationality of attribute weights calculation is improved. The effectiveness of this method is verified by simulation results.

出版日期: 2016-09-22
:  C 934  
基金资助:

 国家自然科学基金资助项目(61503255);  辽宁省教育厅科学研究一般资助项目(L2015412).

作者简介: 王昱(1980-),女,讲师,博士生, 从事无人机空战态势估计、目标分配研究.ORCID: 0000-0002-9486-1797. E-mail: yuki1120@sina.com
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引用本文:

王昱, 傅莉, 梁宵, 李勇. 混合缺失信息集结下的属性赋权方法[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.09.23.

WANG Yu, FU Li, LIANG Xiao, LI Yong. Attribute weights-given method under aggregation of hybrid and deficient information. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.09.23.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.09.23        http://www.zjujournals.com/eng/CN/Y2016/V50/I9/1806

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