Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (2): 26-28.DOI: 10.3778/j.issn.1002-8331.2011.02.008

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Study of approximate measures for rough functional dependencies based on bit pattern

AN Qiusheng   

  1. School of Mathematics and Computer Science,Shanxi Normal University,Linfen,Shanxi 041004,China
  • Received:2010-09-26 Revised:2010-12-01 Online:2011-01-11 Published:2011-01-11
  • Contact: AN Qiusheng

位模式下粗糙函数依赖近似度量的研究

安秋生   

  1. 山西师范大学 数学与计算机科学学院,山西 临汾 041004
  • 通讯作者: 安秋生

Abstract: The measures problem of rough functional dependency are researched in this paper by using bit pattern of granular computing.The rough functional dependency and approximate operator are analyzed at first,then attribute values of rough relation are represented by bit pattern,as well as the measure model for rough functional dependencies are given based on bit pattern,finally basic property with which accurate and approximate measure satisfied are investigated.

Key words: Rough Relational Database(RRDB), rough functional dependencies, bit pattern

摘要: 利用粒计算位模式方法对粗糙关系数据库(Rough Relational Database,RRDB)的粗糙函数依赖的度量问题进行研究。首先对粗糙函数依赖、RRDB中粗糙上下近似进行了分析,然后利用位模式表示粗糙关系的属性值,在此基础上给出了位模式利用粒计算方法对粗糙函数依赖进行度量的模型,并研究了其满足的性质。

关键词: 粗糙关系数据库, 粗糙函数依赖, 位模式

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