计算机科学 ›› 2009, Vol. 36 ›› Issue (9): 193-195.

• 人工智能 • 上一篇    下一篇

不完备信息系统中决策规则的不确定性表示

李萍,瞿英,王芳,吴祈宗   

  1. (北京理工大学管理与经济学院 北京 100081);(河北科技大学经管学院 石家庄 050018)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受河北省教育厅计划(2007205)资助。

Uncertain Knowledge Expression to the Decision Rule of Incomplete Information System

LI Ping,QU Ying, WANG Fang, WU Qi-zong   

  • Online:2018-11-16 Published:2018-11-16

摘要: 将完备信息系统中决策规则的不确定性度量引入到不完备信息系统中,充分讨论了条件属性值缺失时规则的不确定性度量表现为概率区间的特性,在此基础上给出了确信度和覆盖度的近似概率值,并利用确信度计算出规则对分类的反映程度。

关键词: 粗糙集,不完备信息系统,不确定性

Abstract: The uncertainty measurement method of decision rules in complete information system was firstly introduced into the incomplete information system. When some of attribute values are missing,the uncertainty measurement of decision rule shows the characteristics of probability interval. On the basis of that, the certain factor coverage factor can be measured by approximate probability value. Besides this, the reflection degree of rule to the knowledge classification can be computed using the certain factor.

Key words: Rough theory, Incomplete information system, Uncertainty

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