Abstract
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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Zaiyue Zhang received his PhD from Chinese Academy of Sciences, Beijing, China in 1995. Zhang is currently a professor at Jiangsu University of Science and Technology. His current research areas are recursion theory, rough set theory, and intelligent information processing.
Xibei Yang received his BS from Xuzhou Normal University, Xuzhou, China in 2002, his MS from Jiangsu University of Science and Technology (JUST), Zhenjiang, China in 2006, and his PhD from Nanjing University of Science and Technology (NJUST), Nanjing, China in 2010, all in the field of Computer Applications. Yang is currently an associate professor at JUST, he is also a postdoctoral researcher at NJUST. He has published one monograph and more than 70 articles in international journals and international conferences. His research interests include granular computing, rough sets, and decision making.
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Zhang, Z., Yang, X. Tolerance-based multigranulation rough sets in incomplete systems. Front. Comput. Sci. 8, 753–762 (2014). https://doi.org/10.1007/s11704-014-3141-7
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DOI: https://doi.org/10.1007/s11704-014-3141-7