计算机应用 ›› 2010, Vol. 30 ›› Issue (12): 3374-3376.

• 数据库与数据挖掘 • 上一篇    下一篇

不完备灰色信息系统的粗集模型

林耀进[Author]) AND 1[Journal]) AND year[Order])" target="_blank">林耀进1,李进金2,吴顺祥3,林耀进[Author]) AND 1[Journal]) AND year[Order])" target="_blank">林耀进2   

  1. 1. 福建漳州师范学院计算机科学与工程系
    2.
    3. 厦门大学自动化系
  • 收稿日期:2010-06-28 修回日期:2010-07-28 发布日期:2010-12-22 出版日期:2010-12-01
  • 通讯作者: 林耀进
  • 基金资助:
    基于图形处理器的高性能计算;国家“十一五”科技支撑计划项目;漳州师范学院科研基金项目

Rough set model in incomplete grey information systems

  • Received:2010-06-28 Revised:2010-07-28 Online:2010-12-22 Published:2010-12-01

摘要: 提出一种属性值为区间灰数的不完备信息系统。首先根据区间灰数的定义,提出了区间灰数的一些运算性质,并定义了不完备灰色信息系统;然后,根据灰相似度,提出了变精度灰相似关系,并根据变精度灰相似关系引出了上、下近似算子;最后给出了约简的实际操作方法,并通过典型例子验证了该方法的有效性。

关键词: 粗糙集, 灰数, 灰色信息系统, 灰相似关系, 知识约简

Abstract: In this paper, the incomplete information system in which attributes values were considered as interval grey number. Firstly, some operation properties of interval grey number were presented according to the definition of interval grey number, and an incomplete grey information system was defined. Then, based on grey similar degree, the variable precise grey similar relation was proposed, and the upper and lower approximations were conducted according to variable precise grey similar relation. Lastly, a practical operation method for computing reduction was given, and the validity of the proposed technique was verified via a typical case.

Key words: rough set, grey number, grey information system, grey similar relation, knowledge reduction