Research and Application for Grey Relational Analysis in Multigranularity Based on Normality Grey Number

被引：15
|
作者：
Dai, Jin [1 ]
Liu, Xin [1 ]
Hu, Feng [2 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Software Engn, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Coll Comp Sci, Chongqing 400065, Peoples R China
来源：
SCIENTIFIC WORLD JOURNAL | 2014年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1155/2014/312645
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Grey theory is an essential uncertain knowledge acquisition method for small sample, poor information. The classic grey theory does not adequately take into account the distribution of data set and lacks the effective methods to analyze and mine big sample in multigranularity. In view of the universality of the normal distribution, the normality grey number is proposed. Then, the corresponding definition and calculation method of the relational degree between the normality grey numbers are constructed. On this basis, the grey relational analytical method in multigranularity is put forward to realize the automatic clustering in the specified granularity without any experience knowledge. Finally, experiments fully prove that it is an effective knowledge acquisition method for big data or multigranularity sample.
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页数：10
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