| Dominance relation and rules in an incomplete ordered information system MW Shao, WX Zhang International journal of intelligent systems 20 (1), 13-27, 2005 | 272 | 2005 |
| A fitting model for feature selection with fuzzy rough sets C Wang, Y Qi, M Shao, Q Hu, D Chen, Y Qian, Y Lin IEEE Transactions on Fuzzy Systems 25 (4), 741-753, 2016 | 254 | 2016 |
| Feature subset selection based on fuzzy neighborhood rough sets C Wang, M Shao, Q He, Y Qian, Y Qi Knowledge-Based Systems 111, 173-179, 2016 | 243 | 2016 |
| Feature selection based on neighborhood self-information C Wang, Y Huang, M Shao, Q Hu, D Chen IEEE Transactions on Cybernetics 50 (9), 4031-4042, 2019 | 209 | 2019 |
| Fuzzy rough set-based attribute reduction using distance measures C Wang, Y Huang, M Shao, X Fan Knowledge-Based Systems 164, 205-212, 2019 | 203 | 2019 |
| Fuzzy rough attribute reduction for categorical data C Wang, Y Wang, M Shao, Y Qian, D Chen IEEE Transactions on Fuzzy Systems 28 (5), 818-830, 2019 | 170 | 2019 |
| Reduction method for concept lattices based on rough set theory and its application M Liu, M Shao, W Zhang, C Wu Computers & Mathematics with Applications 53 (9), 1390-1410, 2007 | 168 | 2007 |
| Attribute reduction based on k-nearest neighborhood rough sets C Wang, Y Shi, X Fan, M Shao International Journal of Approximate Reasoning 106, 18-31, 2019 | 152 | 2019 |
| An improved attribute reduction scheme with covering based rough sets C Wang, M Shao, B Sun, Q Hu Applied Soft Computing 26, 235-243, 2015 | 95 | 2015 |
| Attribute reduction in generalized one-sided formal contexts MW Shao, KW Li Information Sciences 378, 317-327, 2017 | 83 | 2017 |
| Generalized fuzzy rough approximation operators determined by fuzzy implicators WZ Wu, Y Leung, MW Shao International Journal of Approximate Reasoning 54 (9), 1388-1409, 2013 | 83 | 2013 |
| Rule acquisition and complexity reduction in formal decision contexts MW Shao, Y Leung, WZ Wu International Journal of Approximate Reasoning 55 (1), 259-274, 2014 | 82 | 2014 |
| Set approximations in fuzzy formal concept analysis MW Shao, M Liu, WX Zhang Fuzzy sets and systems 158 (23), 2627-2640, 2007 | 81 | 2007 |
| Uncertainty measures for general fuzzy relations C Wang, Y Huang, M Shao, D Chen Fuzzy Sets and Systems 360, 82-96, 2019 | 71 | 2019 |
| Knowledge reduction in formal fuzzy contexts MW Shao, HZ Yang, WZ Wu Knowledge-Based Systems 73, 265-275, 2015 | 62 | 2015 |
| Axiomatic characterizations of (S, T)-fuzzy rough approximation operators WZ Wu, YH Xu, MW Shao, G Wang Information Sciences 334, 17-43, 2016 | 58 | 2016 |
| Feature selection based on maximal neighborhood discernibility C Wang, Q He, M Shao, Q Hu International Journal of Machine Learning and Cybernetics 9, 1929-1940, 2018 | 57 | 2018 |
| Improved PSO_AdaBoost ensemble algorithm for imbalanced data K Li, G Zhou, J Zhai, F Li, M Shao Sensors 19 (6), 1476, 2019 | 55 | 2019 |
| Granular reducts of formal fuzzy contexts MW Shao, Y Leung, XZ Wang, WZ Wu Knowledge-Based Systems 114, 156-166, 2016 | 47 | 2016 |
| EAA-Net: A novel edge assisted attention network for single image dehazing C Wang, HZ Shen, F Fan, MW Shao, CS Yang, JC Luo, LJ Deng Knowledge-Based Systems 228, 107279, 2021 | 46 | 2021 |