JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (12): 89-94.doi: 10.6040/j.issn.1671-9352.0.2017.436

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Data separation and its attribute state characteristics

GUO Hua-long, ZHANG Ling   

  1. School of Information Engineering, Longyan University, Longyan 364012, Fujian, China
  • Received:2017-09-04 Online:2017-12-20 Published:2017-12-22

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Abstract: This article gives the basic theory of data separation as well as the generation theory of attribute state characteristics for data separation. By employing the structures and dynamic characteristics of inverse P-sets, the concepts of data outer separation, data internal separation and data outer-internal separation are proposed. Moreover, the data separation characteristics and the attribute state characteristics are generated by data separation are analyzed. Then the data supplement theorem, the data deleting theorem and the data supplement-deleting theorem are given. The attribute cardinal theorems of data outer separation, data internal separation and data outer-internal separation are provided. The theoretical results presented in this article show the generation characteristics of data separation.

Key words: data separation, data separation theorem, attribute cardinal theorem, inverse P-sets, attribute state

CLC Number: 

  • O144
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