节点文献
F-粗糙集方法对概念漂移的度量
The F-rough sets approaches to the measures of concept drift
【摘要】 F-粗糙集是一种针对信息表簇或决策表簇的新的粗糙集模型.利用F-粗糙集模型中上、下近似的思想,定义了不确定性概念漂移的一些度量,包括概念的上、下近似漂移量和概念的上、下近似耦合度等,并初步探讨了它们的性质.
【Abstract】 F-rough set model was regarded as a new rough set model for a family of information systems and decision systems.It was defined some measures of concept drift with the idea of upper approximation and lower approximation in F-rough sets.These measures included the measures for concept drift of upper approximation and lower approximation,the coincidence degrees for concept drift of upper approximation and lower approximation etc.Moreover,some properties of these measures were investigated.
【关键词】 F-粗糙集;
上近似;
下近似;
概念漂移;
度量;
【Key words】 F-rough sets; upper approximation; lower approximation; concept drift; measure;
【Key words】 F-rough sets; upper approximation; lower approximation; concept drift; measure;
- 【文献出处】 浙江师范大学学报(自然科学版) ,Journal of Zhejiang Normal University(Natural Sciences) , 编辑部邮箱 ,2013年03期
- 【分类号】TP311.13
- 【被引频次】17
- 【下载频次】114