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Chinese Journal of Management Science ›› 2005, Vol. ›› Issue (4): 69-73.

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Study on the Integrated Grey Clustering Method under the Clustering Coefficient with Non-Distinguished Difference

DANG Yao-guo, LIU Si-feng, LIU Bin, ZHAI Zhen-jie   

  1. College of Economics & Management, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
  • Received:2004-03-16 Revised:2005-04-07 Online:2005-08-28 Published:2012-03-07

Abstract: Through analyzing in depth the present grey cluster model,we think they can be used to exact cluster with respect to cluster objectives when there are not distinguished differences between grey cluster coefficients,which often come forth in practical economic phenomena.Based on the present theories on grey cluster,a new grey cluster evaluation method is developed.Idiographic processes are the following:First,compute cluster coefficients of every cluster objectives and transform then into non-dimensional sequences;Second,compute the integrated cluster coefficients of every cluster objective based on the action of every cluster coefficient in the cluster process;Third,determine grey class of every cluster objective based on the integrated cluster coefficients.Furthermore,we prove that the result of our model and present model are equivalent when the distinguished difference coefficients are larger than 1-2/S.Last,we illustrate the integrated cluster method with the selecting dominant industries of Jiangsu’s second industry.

Key words: grey cluster, cluster coefficient, distinguished difference

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