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Tolerance-based multigranulation rough sets in incomplete systems

被引：5
|
作者：
Zhang, Zaiyue [1 ]
Yang, Xibei [1 ,2 ,3 ]
机构：
[1] Jiangsu Univ Sci & Technol, Sch Comp Sci & Engn, Zhenjiang 212003, Peoples R China
[2] Nanjing Univ Sci & Technol, Minist Educ, Key Lab Intelligent Percept & Syst High Dimens In, Nanjing 210094, Jiangsu, Peoples R China
[3] Artificial Intelligence Key Lab Sichuan Prov, Zigong 643000, Peoples R China
来源：
FRONTIERS OF COMPUTER SCIENCE | 2014年 / 8卷 / 05期
基金：
中国国家自然科学基金;
关键词：
incomplete information system; maximal consistent block; multigranulation rough sets; tolerance relation; INFORMATION; APPROXIMATION; ACQUISITION; MODEL;
D O I：
10.1007/s11704-014-3141-7
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Presently, the notion of multigranulation has been brought to our attention. In this paper, the multigranulation technique is introduced into incomplete information systems. Both tolerance relations and maximal consistent blocks are used to construct multigranulation rough sets. Not only are the basic properties about these models studied, but also the relationships between different multigranulation rough sets are explored. It is shown that by using maximal consistent blocks, the greater lower approximation and the same upper approximation as from tolerance relations can be obtained. Such a result is consistent with that of a single-granulation framework.
引用
收藏
页码：753 / 762
页数：10
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