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Tolerance-based multigranulation rough sets in incomplete systems

被引：0
|
作者：
Zaiyue Zhang
Xibei Yang
机构：
[1] Jiangsu University of Science and Technology,School of Computer Science and Engineering
[2] Ministry of Education,Key Laboratory of Intelligent Perception and Systems for High
[3] Artificial Intelligence Key Laboratory of Sichuan Province,Dimensional Information (Nanjing University of Science and Technology)
来源：
Frontiers of Computer Science | 2014年 / 8卷
关键词：
incomplete information system; maximal consistent block; multigranulation rough sets; tolerance relation;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：753 / 762
页数：9
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