Weighted Degree of Grey Incidence Based on Optimization Entropy

摘要：

Based on the basic assumption of stable relationship among each factor in grey system and the analysis of grey sequence entropy, this paper presents the way for the first time how to determine the weight of incidence coefficient in grey incidence analysis. By defining the distributing density value of weighted grey incidence coefficient, this paper composes a grey sequence in order to establish an optimization model of incidence coefficient weight. Moreover, this paper validates the validity and practicability of this method with examples. The results indicate that this method can reflect the significance of incidence coefficient at different time point, thereby the fluctuation of incidence coefficient can be controlled effectively, and the problem that the whole grey incidence sequence is controlled by partial point incidence coefficient can be solved.

作者: PEI Ling-ling CHEN Wan-ming CUI Jun-fu ZHUANG Guo-bo

作者单位: College of Economics and Management , Nanjing University of Aeronautics and Astronautics ,Nanjing 21 College of Economics and Management , Nanjing University of Aeronautics and Astronautics ,Nanjing 21 Economic School , Renmin University of China Beijing 100872, China College of Economics and Management , NanjingUniversity of Aeronautics and Astronautics ,Nanjing 210

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)

会议地点: 南京

会议语种:英文

页码: 340-343

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）