| Maximal-discernibility-pair-based approach to attribute reduction in fuzzy rough sets J Dai, H Hu, WZ Wu, Y Qian, D Huang IEEE Transactions on Fuzzy Systems 26 (4), 2174-2187, 2017 | 201 | 2017 |
| Attribute selection for partially labeled categorical data by rough set approach J Dai, Q Hu, J Zhang, H Hu, N Zheng IEEE Transactions on Cybernetics 47 (9), 2460-2471, 2016 | 126 | 2016 |
| Neighbor inconsistent pair selection for attribute reduction by rough set approach J Dai, Q Hu, H Hu, D Huang IEEE Transactions on Fuzzy Systems 26 (2), 937-950, 2017 | 106 | 2017 |
| Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation J Dai, J Chen, Y Liu, H Hu Knowledge-Based Systems 207, 106342, 2020 | 65 | 2020 |
| Attribute reduction in interval-valued information systems based on information entropies J Dai, H Hu, G Zheng, Q Hu, H Han, H Shi Frontiers of Information Technology & Electronic Engineering 17 (9), 919-928, 2016 | 59 | 2016 |
| Locally linear approximation approach for incomplete data J Dai, H Hu, Q Hu, W Huang, N Zheng, L Liu IEEE Transactions on Cybernetics 48 (6), 1720-1732, 2017 | 33 | 2017 |
| DualPOS: a semi-supervised attribute selection approach for symbolic data based on rough set theory J Dai, H Han, H Hu, Q Hu, J Zhang, W Wang Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016 | 10 | 2016 |
| Rough Set Model for Cognitive Expectation Embedded Interval‐Valued Decision Systems J DAI, Z LIU, HU Hu, H SHI Chinese Journal of Electronics 27 (4), 675-679, 2018 | 3 | 2018 |
| Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy J Dai, H Han, H Hu, Q Hu, B Wei, Y Yan Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016 | 1 | 2016 |
| 区间值信息系统中基于信息熵的属性约简 J Dai, H Hu, G Zheng, Q Hu, H Han, H Shi, AJ Dai, AH Hu, AG Zheng, ... Frontiers 17 (9), 919-928, 2016 | | 2016 |
