摘要
以粗隶属函数为工具,给出一种粗集间相似度量的数值算式,并将粗集间的相似度量应用于一类决策条件与结论的匹配问题上。最后通过一个实际例子说明这种方法的合理性。
Based on rough membership function,a numerical method of measures of similarity between rough sets is presented.Measures of similarity between rough sets are applied to one type problem of the matching of decision condition and decision conclusion.At last,this method is illustrated to be reasonable by an specific example.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第31期29-30,共2页
Computer Engineering and Applications
基金
福建省自然科学基金项目(编号:A0410026)资助
关键词
粗集
相似度量
不确定性推理
匹配
rough sets,measures of similarity between rough sets,uncertainty reasoning,matching
