• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (7): 79-81.

• 论文 • 上一篇    下一篇

基于直觉模糊粗糙集的属性约简研究

樊雷 雷英杰   

  • 出版日期:2008-07-01 发布日期:2010-05-22

  • Online:2008-07-01 Published:2010-05-22

摘要:

本文针对传统的离散化技术所造成的信息丢失问题,提出了利用直觉模糊粗糙集合理论来进行属性约简的方法。文中描述了直觉模糊等价关系下粗糙集的模型,并在此基础之上定义了正域、依赖度与非依赖度概念,然后详细分析了直觉模糊粗糙集属性约简算法。最后,用实例证明了该算法的可行性,并对算法的优缺点进行了阐述。

关键词: 直觉模糊集 直觉模糊粗糙集 正域 依赖度 非依赖度

Abstract:

The technology of attribute reduction based on the intuitionistic fuzzy rough set theory is described as to the problem of information loss in the pro cess of discretization. A model of rough sets under intuitionistic fuzzy equivalant relations is systematically investigated, and the definitions of pos itive field, dependence degree and nondependence degree are given. An attribute reduction algorithm based on intuitionistic fuzzy rough sets is particul arly analyzed,and the advantages and disadvantages are compared. Experiments show the feasibility of the application of the algorithm.

Key words: intuitionistic fuzzy set, intuitionistic fuzzy rough set;positive field, dependence degree;nondependenc e degree