On multigranulation rough sets in incomplete information system

[1]  Witold Pedrycz,et al.  An efficient accelerator for attribute reduction from incomplete data in rough set framework , 2011, Pattern Recognit..

[2]  Marina V. Fomina,et al.  Problem of knowledge discovery in noisy databases , 2011, Int. J. Mach. Learn. Cybern..

[3]  Dianhui Wang,et al.  Extreme learning machines: a survey , 2011, Int. J. Mach. Learn. Cybern..

[4]  Xinbo Gao,et al.  Robust tensor subspace learning for anomaly detection , 2011, Int. J. Mach. Learn. Cybern..

[5]  Zhi Liu,et al.  Multi-valued attribute and multi-labeled data decision tree algorithm , 2011, Int. J. Mach. Learn. Cybern..

[6]  Witold Pedrycz,et al.  Positive approximation: An accelerator for attribute reduction in rough set theory , 2010, Artif. Intell..

[7]  Jiye Liang,et al.  Incomplete Multigranulation Rough Set , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[8]  Jiye,et al.  Pessimistic Rough Decision , 2010 .

[9]  Jing-Yu Yang,et al.  Dominance-based rough set approach to incomplete interval-valued information system , 2009, Data Knowl. Eng..

[10]  Tsau Young Lin,et al.  Granular computing I: the concept of granulation and its formal model , 2009, Int. J. Granul. Comput. Rough Sets Intell. Syst..

[11]  William Zhu,et al.  Relationship among basic concepts in covering-based rough sets , 2009, Inf. Sci..

[12]  William Zhu,et al.  Relationship between generalized rough sets based on binary relation and covering , 2009, Inf. Sci..

[13]  Jing-Yu Yang,et al.  Credible rules in incomplete decision system based on descriptors , 2009, Knowl. Based Syst..

[14]  Jing-Yu Yang,et al.  Dominance-based rough set approach and knowledge reductions in incomplete ordered information system , 2008, Inf. Sci..

[15]  Jiye Liang,et al.  MGRS in Incomplete Information Systems , 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

[16]  William Zhu,et al.  Topological approaches to covering rough sets , 2007, Inf. Sci..

[17]  Andrzej Skowron,et al.  Rough sets: Some extensions , 2007, Inf. Sci..

[18]  Andrzej Skowron,et al.  Rough sets and Boolean reasoning , 2007, Inf. Sci..

[19]  Andrzej Skowron,et al.  Rudiments of rough sets , 2007, Inf. Sci..

[20]  K. N. King 2006 IEEE International Conference on Granular Computing , 2006, IEEE Comput. Intell. Mag..

[21]  Yee Leung,et al.  Knowledge acquisition in incomplete information systems: A rough set approach , 2006, Eur. J. Oper. Res..

[22]  Jerzy W. Grzymala-Busse,et al.  Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction , 2004, Trans. Rough Sets.

[23]  Wang Guo,et al.  EXTENSION OF ROUGH SET UNDER INCOMPLETE INFORMATION SYSTEMS , 2002 .

[24]  Alexis Tsoukiàs,et al.  Incomplete Information Tables and Rough Classification , 2001, Comput. Intell..

[25]  Marzena Kryszkiewicz,et al.  Rough Set Approach to Incomplete Information Systems , 1998, Inf. Sci..

[26]  T. Y. Lin,et al.  Granular Computing on Binary Relations II Rough Set Representations and Belief Functions , 1998 .

[27]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .