关于变精度粗集与粗集属性约简的注记  

Note of attribute reduction on variable precision rough set and rough set

作　　者：吴凤珍[1] 梁俊奇[2] 

机构地区：[1]郑州职业技术学院基础教育处,郑州450121 [2]商丘师范学院数学与信息科学学院,河南商丘476000

出　　处：《计算机工程与应用》2013年第6期52-54,共3页Computer Engineering and Applications

基　　金：河南省基础与前沿科学技术研究项目(No.122300410222);河南省软科学研究计划项目(No.122400450212);河南省教育厅科学技术研究重点项目(No.2011A120007;No.2012B120011)

摘　　要：通过抽象信息系统,阐明了经典粗糙集模型分类质量、相对正域、决策类下近似具有非单调递减性;变精度粗糙集模型在约简过程中分类质量和相对正域会出现跳跃现象,约简过程具有不稳定性。需要针对三者分别建立模型,使属性约简变得多样化。By investigating the concrete instances, this paper illuminates classification qualities, relative positive region, non-mono- tonic decreasing characteristics of classical rough set model and the occurring bounce phenomena of classification qualities and relative positive region in the process of reduction for variable precision coverage rough set model as well. However, there may- be some instabilities in the procedure above. So it is necessary to establish different models according to them in order to make the reduction of properties in variable ways.

关 键 词：经典粗糙集 变精度粗糙集 非单调递减 跳跃现象 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]