摘要
描述了直觉模糊相似关系下的粗糙集模型,并在此基础上了定义了正域,依赖度与非依赖度的概念,提出了运用直觉模糊集合理论的粗糙集属性约简算法。最后,用实例证明了该算法的可行性。
A model of rough sets under intuitionistic fuzzy similarity relations is investigated, and the definitions of positive field, dependence degree and nondependence degree are given. An attribute reduction algorithm based on intuitionistic fuzzy rough sets is analyzed. At last, experiments show the feasibility of the application of the algorithm.
出处
《模糊系统与数学》
CSCD
北大核心
2012年第5期185-190,共6页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(11071178)
关键词
直觉模糊相似关系
直觉模糊粗糙集
正域
依赖度
非依赖度
Intuitionistic Fuzzy Similarity Relation
Intuitionistic Fuzzy Rough Set
Positive Field
Dependence Degree
Nondependence Degree
