不完备信息系统中集对粗糙集模型  

Rough set model based on set pair analysis in incomplete information system

作　　者：陶志[1] 戴慧君[1] 张艳[1] 

机构地区：[1]中国民航大学理学院,天津300300

出　　处：《计算机应用》2008年第7期1684-1685,1691,共3页journal of Computer Applications

基　　金：国家自然科学基金委员会与中国民用航空总局联合资助项目(60672178);中国民航大学博士启动基金资助项目(05QD02S)

摘　　要：粗糙集理论在数据挖掘中的成功应用已成为近来人工智能领域研究的热点,人们将经典粗糙集中的等价关系放宽后使粗糙集理论的运用更加广泛,但在不完备信息系统中的运用仍受到限制。在已有的集对粗糙集模型的基础上,提出了针对不完备系统更加有效的集对粗糙集模型,通过实例说明了这种模型的可行性和有效性,使粗糙集模型在一定程度上得到了推广。Rough set theory has become a focus subject because of its successful applications to data mining. Equivalent relation in the classical rough set was relaxed to the application of the rough set theory widely, but it is restricted in incomplete systems. In this paper, we put the more effective rough set model based on set pair analysis of the existing model. Through a case study, it is verified that the model is more feasible and effective, and rough set theory is extended in some way.

关 键 词：不完备信息系统 集对分析 粗糙集 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论]