| Granular computing approach to two-way learning based on formal concept analysis in fuzzy datasets W Xu, W Li IEEE Transactions on Cybernetics 46 (2), 366-379, 2016 | 285 | 2016 |
| Double-quantitative decision-theoretic rough set W Li, W Xu Information Sciences 316, 54-67, 2015 | 93 | 2015 |
| An incremental learning mechanism for object classification based on progressive fuzzy three-way concept K Yuan, W Xu, W Li, W Ding Information Sciences 584, 127-147, 2022 | 92 | 2022 |
| Generalized multigranulation rough sets and optimal granularity selection W Xu, W Li, X Zhang Granular Computing 2 (4), 271-288, 2017 | 68 | 2017 |
| Interval dominance-based feature selection for interval-valued ordered data W Li, H Zhou, W Xu, XZ Wang, W Pedrycz IEEE Transactions on Neural Networks and Learning Systems, 2022 | 64 | 2022 |
| Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems W Li, W Xu, X Zhang, J Zhang Artificial Intelligence Review 55 (3), 1821-1855, 2022 | 61 | 2022 |
| An emerging fuzzy feature selection method using composite entropy-based uncertainty measure and data distribution W Xu, K Yuan, W Li, W Ding IEEE Transactions on Emerging Topics in Computational Intelligence 7 (1), 76-88, 2022 | 59 | 2022 |
| Dynamic updating approximations of local generalized multigranulation neighborhood rough set W Xu, K Yuan, W Li Applied Intelligence 52 (8), 9148-9173, 2022 | 58 | 2022 |
| Attribute-oriented cognitive concept learning strategy: a multi-level method B Fan, ECC Tsang, W Xu, D Chen, W Li International Journal of Machine Learning and Cybernetics 10, 2421-2437, 2019 | 48 | 2019 |
| Multigranulation decision-theoretic rough set in ordered information system W Li, W Xu Fundamenta Informaticae 139 (1), 67-89, 2015 | 47 | 2015 |
| Feature selection approach based on improved fuzzy c-means with principle of refined justifiable granularity W Li, S Zhai, W Xu, W Pedrycz, Y Qian, W Ding, T Zhan IEEE Transactions on Fuzzy Systems, 2022 | 28 | 2022 |
| Double-quantitative variable consistency dominance-based rough set approach W Li, X Xue, W Xu, T Zhan, B Fan International Journal of Approximate Reasoning 124, 1-26, 2020 | 27 | 2020 |
| Exponential stability of fractional-order switched systems with mode-dependent impulses and its application T Zhan, S Ma, W Li, W Pedrycz IEEE transactions on cybernetics 52 (11), 11516-11525, 2021 | 26 | 2021 |
| Distance-based double-quantitative rough fuzzy sets with logic operations W Li, W Pedrycz, X Xue, W Xu, B Fan International Journal of Approximate Reasoning 101, 206-233, 2018 | 26 | 2018 |
| Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features ECC Tsang, B Fan, D Chen, W Xu, W Li Soft Computing 24 (5), 3753-3770, 2020 | 20 | 2020 |
| Fuzziness and incremental information of disjoint regions in double-quantitative decision-theoretic rough set model W Li, W Pedrycz, X Xue, W Xu, B Fan International Journal of Machine Learning and Cybernetics 10, 2669-2690, 2019 | 17 | 2019 |
| General expression of knowledge granularity based on a fuzzy relation matrix W Li, Y Wei, W Xu Fuzzy Sets and Systems 440, 149-163, 2022 | 15 | 2022 |
| Probabilistic rough set model based on dominance relation W Li, W Xu International Conference on Rough Sets and Knowledge Technology, 856-863, 2014 | 13 | 2014 |
| Further Study of Multigranulation T-Fuzzy Rough Sets W Li, X Zhang, W Sun The Scientific World Journal 2014, 1-18, 2014 | 13 | 2014 |
| A comparative experimental evaluation on performance of type-1 and interval type-2 Takagi-Sugeno fuzzy models K Yuan, W Li, W Xu, T Zhan, L Zhang, S Liu International Journal of Machine Learning and Cybernetics 12 (7), 2135-2150, 2021 | 10 | 2021 |
Weihua XuSouthwest UniversityVerified email at swu.edu.cn
