计算机科学 ›› 2010, Vol. 37 ›› Issue (4): 205-.

• 人工智能 • 上一篇    下一篇

集值信息系统基于邻域关系的属性约简

陈子春,秦克云   

  1. (西南交通大学数学学院 成都610013);(西华大学数学与计算机学院 成都610039)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金资助项目(60474022),四川省重大科技专项配套资金项目(2008GZ0118)资助。

Attribute Reduction of Set-valued Information Systems Based on Neighborhood Relation

CHEN Zi-chun,QIN Ke-yun   

  • Online:2018-12-01 Published:2018-12-01

摘要: 集值信息系统是完备信息系统的广义形式,其中的一些对象在某些属性下的取值可能不止一个,反映的是信息的不确定性。在集值信息系统上引入对象的邻域关系,并以每个对象的邻域作为基本集,建立了集值信息系统的粗糙集方法。为了简化知识的表示,进一步在集值信息系统上提出了部域协调集与部域约简的概念,并讨论了这种部域协调集的性质与判定。最后通过区分函数得到了计算集值信息系统邻域约简的方法。

关键词: 集值信息系统,部域,部域约简,区分函数

Abstract: Set-valued information systems, in which some objects may have more than one value for an attribute, are generalized complete information systems. Introducing a neighborhood relation to set valued information systems,we established a rough set approach based on the neighborhood of every object as elementary set. Furthermore, in order to simplify knowledge representation, we proposed the concept of neighborhood consistent set and neighborhood reduction,and discussed the properties and judgments of neighborhood consistent set. Finally, we obtained the approach to compute neighborhood reduction for set valued information systems by the discernibility function.

Key words: Set valued information system, Neighborhood, Neighborhood reduction, Discernibility function

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