基于直觉模糊粗糙集的一种知识获取方法  

Knowledge acquisition method of intuitionistic fuzzy rough sets

作　　者：樊雷[1] 雷英杰[1] 

机构地区：[1]空军工程大学导弹学院研究生一队,西安713800

出　　处：《计算机工程与应用》2008年第4期39-41,共3页Computer Engineering and Applications

基　　金：陕西省自然科学基金(the Natural Science Foundation of Shaanxi Province of China under Grant No.2006F18)

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。A new method of knowledge acquisition based on intuitionistic fuzzy-rough sets is proposed.The model of rough sets under intuitionistie 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 intuitionistie fuzzy-rough rules mining are particularly analyzed. Through a simple experiment,the application of the algorithm is testified：

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 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]