计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (4): 39-41.

• 学术探讨 • 上一篇    下一篇

基于直觉模糊粗糙集的一种知识获取方法

樊 雷,雷英杰   

  1. 空军工程大学导弹学院 研究生一队,西安 713800
  • 收稿日期:2007-09-14 修回日期:2007-12-06 出版日期:2008-02-01 发布日期:2008-02-01
  • 通讯作者: 樊 雷

Knowledge acquisition method of intuitionistic fuzzy rough sets

FAN Lei,LEI Ying-jie   

  1. Missile Institute,Air Force Engineering University,Xi’an 713800,China
  • Received:2007-09-14 Revised:2007-12-06 Online:2008-02-01 Published:2008-02-01
  • Contact: FAN Lei

摘要: 将粗糙集理论与直觉模糊集理论相结合,提出了一种基于直觉模糊粗糙集理论的知识获取方法。描述了直觉模糊相似关系下粗糙集的模型,并在此基础之上重新定义了正域、依赖度与非依赖度、确定性因子与非确定性因子等概念。详细分析了基于直觉模糊粗糙集的规则挖掘算法的基本步骤,最后通过实例验证了该算法的可行性。

关键词: 直觉模糊集, 直觉模糊相似关系, 直觉模糊粗糙集, 正域

Abstract: A new method of knowledge acquisition based on intuitionistic fuzzy-rough sets is proposed.The model of rough sets under intuitionistic fuzzy equivalant relation is systemically investigated,the definition of positive field,the depend-degree and nodepend-degree and so forth are given.The basic processes of intuitionistic fuzzy-rough rules mining are particularly analyzed.Through a simple experiment,the application of the algorithm is testified.

Key words: intuitionistic fuzzy sets, intuitionistic fuzzy analogical relation, intuitionistic fuzzy-rough sets, positive field