【作者】 徐怡； 李龙澍； 李学俊；

【Author】 Xu Yi1,Li Long shu2,Li Xue jun1 1.Key Lab of IC&SP at Anhui University,Ministry of Education,Hefei 230039,P.R.China2.Department of Computer Science and Technology,Anhui University,Hefei 230039,P.R.China

【机构】 安徽大学计算智能与信号处理教育部重点实验室； 安徽大学计算机科学与技术学院；

【摘要】 本文在已有扩充粗糙集模型的基础上,基于集对分析中集对联系度的概念提出了一种改进的对象之间的分类关系,称之为广义集对相似关系,在此基础上给出了一个更一般的扩充粗糙集模型。选用UCI数据库中的数据集进行测试,通过实验表明该模型的分类性能优于已有方法。因此更加适合大型不完备信息系统的处理。更多还原

【Abstract】 An improved classification relation between objects based on existing generalized rough set models and set pair connection degree of set pair analysis theory,called generalized set pair similarity relation is proposed。Based on this a more generalized rough set model is presented.UCI database is selected to demonstrate that the classification performance of the new model is superior to those existing models.Therefore the proposed method is more suitable for processing large-scale incomplete information system。更多还原