MGRS: A multi-granulation rough set Y Qian, J Liang, Y Yao, C Dang
Information sciences 180 (6), 949-970, 2010
938 2010 Positive approximation: an accelerator for attribute reduction in rough set theory Y Qian, J Liang, W Pedrycz, C Dang
Artificial intelligence 174 (9-10), 597-618, 2010
830 2010 Incomplete multigranulation rough set Y Qian, J Liang, C Dang
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2009
458 2009 A new method for measuring uncertainty and fuzziness in rough set theory J Liang, KS Chin, C Dang, RCM Yam
International Journal of General Systems 31 (4), 331-342, 2002
435 2002 A group incremental approach to feature selection applying rough set technique J Liang, F Wang, C Dang, Y Qian
IEEE transactions on knowledge and data engineering 26 (2), 294-308, 2012
361 2012 Stability analysis of positive switched linear systems with delays X Liu, C Dang
IEEE Transactions on Automatic Control 56 (7), 1684-1690, 2011
328 2011 Knowledge structure, knowledge granulation and knowledge distance in a knowledge base Y Qian, J Liang, C Dang
International Journal of Approximate Reasoning 50 (1), 174-188, 2009
245 2009 Interval ordered information systems Y Qian, J Liang, C Dang
Computers & Mathematics with Applications 56 (8), 1994-2009, 2008
233 2008 Set-valued ordered information systems Y Qian, C Dang, J Liang, D Tang
Information Sciences 179 (16), 2809-2832, 2009
232 2009 An efficient rough feature selection algorithm with a multi-granulation view J Liang, F Wang, C Dang, Y Qian
International journal of approximate reasoning 53 (6), 912-926, 2012
230 2012 An efficient accelerator for attribute reduction from incomplete data in rough set framework Y Qian, J Liang, W Pedrycz, C Dang
Pattern Recognition 44 (8), 1658-1670, 2011
226 2011 Information granularity in fuzzy binary GrC model Y Qian, J Liang, ZW Wei-zhi, C Dang
IEEE Transactions on Fuzzy Systems 19 (2), 253-264, 2010
196 2010 A dissimilarity measure for the k-modes clustering algorithm F Cao, J Liang, D Li, L Bai, C Dang
Knowledge-Based Systems 26, 120-127, 2012
190 2012 An evolutionary algorithm for global optimization based on level-set evolution and latin squares Y Wang, C Dang
IEEE Transactions on Evolutionary Computation 11 (5), 579-595, 2007
180 2007 Fuzzy-rough feature selection accelerator Y Qian, Q Wang, H Cheng, J Liang, C Dang
Fuzzy Sets and Systems 258, 61-78, 2015
177 2015 Determining the number of clusters using information entropy for mixed data J Liang, X Zhao, D Li, F Cao, C Dang
Pattern Recognition 45 (6), 2251-2265, 2012
167 2012 An aftertreatment technique for improving the accuracy of Adomian's decomposition method YC Jiao, Y Yamamoto, C Dang, Y Hao
Computers & Mathematics with Applications 43 (6-7), 783-798, 2002
164 2002 Local rough set: a solution to rough data analysis in big data Y Qian, X Liang, Q Wang, J Liang, B Liu, A Skowron, Y Yao, J Ma, C Dang
International Journal of Approximate Reasoning 97, 38-63, 2018
163 2018 The -Means-Type Algorithms Versus Imbalanced Data Distributions J Liang, L Bai, C Dang, F Cao
IEEE Transactions on Fuzzy Systems 20 (4), 728-745, 2012
143 2012 Measures for evaluating the decision performance of a decision table in rough set theory Y Qian, J Liang, D Li, H Zhang, C Dang
Information Sciences 178 (1), 181-202, 2008
136 2008