邻域系统粗糙集模型  

Rough Set Model Based on Neighborhood System

作　　者：杨习贝[1,2] 杨静宇[2] 

机构地区：[1]江苏科技大学计算机科学与工程学院,江苏镇江212003 [2]南京理工大学计算机科学与技术学院,江苏南京210094

出　　处：《南京理工大学学报》2012年第2期291-295,共5页Journal of Nanjing University of Science and Technology

基　　金：国家自然科学基金(61100116);江苏省自然科学基金(BK2011492);江苏省高校自然科学基金(11KJB520004);中国博士后科学基金(20100481149);江苏省博士后科学基金(1100137C)

摘　　要：该文从多视角考虑粗糙近似逼近问题,讨论了邻域系统粗糙集模型的性质。将邻域系统粗糙集模型与两种重要的广义粗糙集模型,即可变精度粗糙集和多粒度粗糙集进行了对比分析,分别根据分类错误率和多粒度构建了不同的领域系统。该文研究结果证明了可变精度粗糙集模型和多粒度粗糙集模型是邻域系统粗糙集模型的特例,邻域系统粗糙集模型是一种更为广义的粗糙集表现形式。Considering the rough approximation with the different views,properties of the neighborhood system based rough set model are investigated.The neighborhood system based rough set is compared with the two different generalized rough sets,the variable precision rough set model and the multi-granulation rough set model.Two different neighborhood systems are constructed according to the classification error and the multi-granulations.It is proved that the variable precision rough set model and multi-granulation rough set model are special cases of the neighborhood system based rough set,and the neighborhood system based rough set is a more generalized rough approach.

关 键 词：邻域系统 粗糙集 可变精度粗糙集 多粒度粗糙集 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]