计算机工程与应用 ›› 2016, Vol. 52 ›› Issue (23): 98-101.

• 大数据与云计算 • 上一篇    下一篇

基于加权特性关系的扩展粗糙集模型

邱光辉,唐定勇   

  1. 中国工程物理研究院 计算机应用研究所,四川 绵阳 621900
  • 出版日期:2016-12-01 发布日期:2016-12-20

Extended rough set model based on weighted characteristic relation

QIU Guanghui, TANG Dingyong   

  1. Institute of Computer Application, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
  • Online:2016-12-01 Published:2016-12-20

摘要: 综合考虑不完备信息系统中信息缺失的不同情况及属性本身的重要性,提出了加权特性关系,给出了基于加权特性关系的扩展粗糙集模型及其近似集的定义和性质,并用实际例子解释了该扩展粗糙集模型的近似集计算方法。

关键词: 不完备信息系统, 粗糙集, 近似集

Abstract: Considering data missing in the incomplete information system and the importance of the attributes, the weighted characteristic relation is proposed. Then, an extended rough set model under the weighted characteristic relation and the definitions of its lower and upper approximations and their properties are given. Finally an example is used to illustrate the method of calculating approximations in this extended rough set model.

Key words: incomplete information system, rough set, approximations