Study on Improved Grey Integrated Clustering Method and Its Application

摘要：

The literature about general grey clustering methods and their improved methods all gives the clustering results based on the principle of the maximal element of a grey clustering coefficient vector. Such methods neglect the effect of other elements except maximal one of a grey clustering coefficient vector to the cluster result. Because grey integrated clustering method comprehensively considers the effect of all elements of a grey clustering coefficient vector to the cluster result, it is an important development to grey clustering techniques. But the way that the value area of integrated clustering coefficients was divided into s equal intervals needs improving. This paper put forward an improved grey integrated clustering method, with which the value interval of a grey integrated clustering coefficient for a grey class was divided by regarding k±0.5 as boundary points. It is proved that when the difference of clustering coefficients of ordinary grey clustering methods is more than 1-1/(s-1),there are the same clustering results for the improved grey integrated clustering and the ordinary grey clustering. At last, we illustrate the improved grey integrated clustering method with the evaluation to rural economic development of Henan Province.

作者: Dong Fenyi Liu Junjuan Liu Bin

作者单位: College of Information and Management Science, Henan Agricultural University,Zhengzhou, CO 450002, P College of Information and Management Science,Henan Agricultural University, Zhengzhou, CO 450002, P College of Information and Management Science, Henan Agricultural University, Zhengzhou, CO 450002

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: 702-707

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）