基于模糊粗糙集的一种知识获取方法  

Knowledge Acquisition Approach Based on Fuzzy-rough Set

作　　者：印勇[1] 孙如英[1] 

机构地区：[1]重庆大学通信工程学院,重庆400030

出　　处：《重庆大学学报（自然科学版）》2006年第5期108-111,共4页Journal of Chongqing University

基　　金：重庆市应用基础研究项目(6976)

摘　　要：将粗糙集理论与模糊集理论相结合,提出了一种基于模糊粗糙集的知识获取方法.该方法利用模糊集理论对决策表中连续属性进行模糊化;通过定义模糊等价类得到模糊粗糙近似空间的上、下近似,从而获取决策规则.实例验证了此方法的有效性.A new method of knowledge acquisition based on fuzzy - rough set is proposed. The continuous attributes in the decision table are fuzzified with the fuzzy membership functions. Lower and upper approximation of fuzzy - rough set are obtained by defining fuzzy equivalence relation. According to them the decision rules are acquired. At last, an example is illustrated and proves that the approach is effective.

关 键 词：模糊粗糙集 决策表 属性约简 知识获取 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]