A New Dynamic Clustering Algorithm for Interval Grey Number

摘要：

In this paper, the grey dynamic clustering algorithm of interval grey number is proposed by the joint application of the basic idea of fuzzy equivalent clustering and the method of grey system theory. Firstly, the similarity coefficient formula of interval grey number is discussed, and then the clustering of interval grey number is realized by making use of transitive closure method. This algorithm combines the grey system theory and the fuzzy set theory, which expands the range of classical equivalent clustering algorithms from the legible number to the interval grey number. Therefore, it’s more versatile, and its effectiveness is testified by an example.

作者: Wu Shunxiang Yang Junjie Wei Wenchang Lin Lihua Luo zhifeng

作者单位: Department of Amtumation, Xiamen University, Xiamen, China 361005

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: 713-718

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）