摘要
复合粗糙集及其扩展模型可同时对信息系统中多个二元关系进行有效处理,已在实际中得到成功应用.研究了概率复合粗糙集模型中的复合关系,通过对信息系统中数值类型数据进行处理,并将其转换为区间值类型来简化复合关系,进而提出了一种改进的概率复合粗糙集模型及分布属性约简方法.最后通过实例验证了该方法的合理性.
Attribute reduction is an important task in data mining and the theory of rough set has been applied to attribute reduction successfully.However,in most extended rough sets,there is a supposition that there exists only one data type and one relationship in an information system.So it is difficult to deal with multiple binary relations in an information system.Therefore,some researchers also proposed composite rough set model.The composite rough sets and their extended models can effectively deal with multiple binary relations in information systems and have been successfully applied in practice.In this paper,the composite relation in the probabilistic composite rough set model is studied.By processing the numerical data in the information system and converting it into the intervalvalued data to simplify the composite relation,we propose a novel probabilistic composite rough set model and the corresponding distribution attribute reduction method.Finally,the rationality of the method is verified by an example.
作者
刘小伟
王宁
李天瑞
杨新
Liu Xiaowei;Wang Ning;Li Tianrui;Yang Xin(Department of Mathematics and Computer Science,Nanchang Normal University,Nanchang,330032,China;Chongqing Normal University Foreign Trade and Business College,Chongqing,401520,China;School of Information Science and Technology,Southwest J iaotong University,Chengdu,611756,China;School of Computer Science,Sichuan Technology and Business University,Chengdu,611745,China)
出处
《南京大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第5期958-966,共9页
Journal of Nanjing University(Natural Science)
基金
国家自然科学基金(61573292
61562063
61562061)
江西省科学技术厅自然科学基金(20171BAB202006
20161BAB212032)
江西省教育厅科技项目(GJJ171109
GJJ161241)
关键词
概率复合粗糙集
属性约简
包含度
分布约简
probabilistic composite rough set
attribute reduction
inclusion degree
distribution reduction