吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (1): 283-290.doi: 10.13229/j.cnki.jdxbgxb201501041

• Orignal Article • Previous Articles     Next Articles

Novel rapid grey incidence analysis method based on data distribution

DAI Jin1,HU Feng2,LIU Xin1   

  1. 1.College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2.College of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2013-12-20 Online:2015-02-01 Published:2015-02-01

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Abstract: The classic grey theory does not adequately take into account the distribution of data set, and lacks effective methods to analyze and mine large sample in multi-granularity. Considering the universality of normal distribution, a normality grey number is proposed. Moreover, the corresponding definition and calculation method of the incidence degree between the normality grey numbers are constructed. On this basis, the grey incidence analysis method in multi-granularity is put forward to realize the automatic clustering in the specified granularity without any experience knowledge. Experiments fully demonstrate that the proposed method is effective in knowledge acquisition for large data.

Key words: computer application, grey theory, normal grey number, degree of grey incidence, grey incidence analysis

CLC Number: 

  • TP391
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