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Dong, F.Y., Liu, J.J. and Liu, B. (2010) Improved Grey Integrated Clustering Method and Its Application in the Evaluation to Rural Economic Development of Henan Province. System Sciences and Comprehensive Studies in Agriculture, 4, 479- 483.

has been cited by the following article:

• TITLE: An Improvement of Grey Integrated Clustering Method

  AUTHORS: Tianhui Wang, Xiaolu Li, Bingjun Li

  KEYWORDS: Grey Cluster, Cluster Coefficient, Distinguished Difference

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.7 No.4, April 30, 2017

  ABSTRACT: 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.