基于集对势的扩充粗糙集模型

针对已有扩充粗糙集模型处理不完备信息系统的局限性,在已有扩充模型的基础上,基于集对分析理论中集对势的概念定义了一种新的对象之间的分类关系,称为集对势容差关系,并由此给出一种新的粗糙集扩充模型.从局部角度,分析说明该模型的分类性能优于已有方法.同时选用UCI数据库中的数据集进行测试,通过实验表明该模型的整体分类性能也优于已有方法.因此更加适合大型不完备信息系统的处理.

Generalized Rough Set Model Based on Set Pair Situation

In view of the limitations of existing generalized rough set models for processing incomplete information system, a new kind of classification relation between objects based on existing generalized models and set pair situation, called set pair situation tolerance relation was proposed. Based on this, a new generalized rough set model was proposed. From the partial angle, it was demonstrated that the new model is superior to those existing models. Simultaneously, UCI database was selected to demonstrate that the overall classification performance of the new model is superior too. Therefore the proposed method is more suitable for processing large-scale incomplete information system.