Author(s)

Tianhui Wang^*, Xiaolu Li, Bingjun Li

College of Information and Management Science, Henan Agricultural University, Zhengzhou, China.

In the grey clustering assessment, the grey integrated clustering method can solve the problem that there are not distinguished differences of grey clustering coefficient. This paper proposes an improved grey integrated clustering method based on the existing problem that there are some deficiencies in the division of the value scope of the integrated cluster coefficients, and proves the effectiveness of the improved method through the empirical analysis.

Grey Cluster, Cluster Coefficient, Distinguished Difference

Wang, T. , Li, X. and Li, B. (2017) An Improvement of Grey Integrated Clustering Method. Open Journal of Applied Sciences, 7, 140-146. doi: 10.4236/ojapps.2017.74012.