A new type of judgement theorems for attribute characters in information system - Anhui Tan (CoRR, 2013)

Connections between covering-based rough sets and concept lattices. - Anhui Tan; Jinjin Li 001; Guoping Lin (Int. J. Approx. Reason., 2015)

Matrix-based set approximations and reductions in covering decision information systems. - Anhui Tan; Jinjin Li 001; Yaojin Lin; Guoping Lin (Int. J. Approx. Reason., 2015)

Extended results on the relationship between information systems. - Anhui Tan; Jinjin Li 001; Guoping Lin (Inf. Sci., 2015)

Fast approach to knowledge acquisition in covering information systems using matrix operations. - Anhui Tan; Jinjin Li 001; Guoping Lin; Yaojin Lin (Knowl. Based Syst., 2015)

A kind of approximations of generalized rough set model. - Anhui Tan; Jinjin Li 001 (Int. J. Mach. Learn. Cybern., 2015)

A rough set method for the minimum vertex cover problem of graphs. - Jinkun Chen; Yaojin Lin; Jinjin Li 001; Guoping Lin; Zhouming Ma; Anhui Tan (Appl. Soft Comput., 2016)

Evidence-theory-based numerical characterization of multigranulation rough sets in incomplete information systems. - Anhui Tan; Wei-Zhi Wu 001; Jinjin Li 001; Guoping Lin (Fuzzy Sets Syst., 2016)

A rough set method for the vertex cover problem in graph theory. - Qingyuan Xu; Anhui Tan; Jinjin Li 001 (J. Intell. Fuzzy Syst., 2016)

A Rough-Set Based Solution of the Total Domination Problem. - Anhui Tan; Yuzhi Tao; Chao Wang (IJCRS (1), 2017)

Optimal Scale Selections in Consistent Generalized Multi-scale Decision Tables. - You-Hong Xu; Wei-Zhi Wu 001; Anhui Tan (IJCRS (1), 2017)

Three-Way Decisions Based on Intuitionistic Fuzzy Sets. - Xiaoping Yang; Anhui Tan (IJCRS (2), 2017)

On the belief structures and reductions of multigranulation spaces with decisions. - Anhui Tan; Wei-Zhi Wu 001; Yuzhi Tao (Int. J. Approx. Reason., 2017)

A rough set method for the unicost set covering problem. - Qingyuan Xu; Anhui Tan; Yaojin Lin (Int. J. Mach. Learn. Cybern., 2017)

A set-cover-based approach for the test-cost-sensitive attribute reduction problem. - Anhui Tan; Wei-Zhi Wu 001; Yuzhi Tao (Soft Comput., 2017)

A unified framework for characterizing rough sets with evidence theory in various approximation spaces. - Anhui Tan; Wei-Zhi Wu 001; Yuzhi Tao (Inf. Sci., 2018)

Granulation selection and decision making with multigranulation rough set over two universes. - Anhui Tan; Wei-Zhi Wu 001; Suwei Shi; Shimei Zhao (Int. J. Mach. Learn. Cybern., 2019)

Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection. - Anhui Tan; Wei-Zhi Wu 001; Yuhua Qian; Jiye Liang; Jinkun Chen; Jinjin Li 001 (IEEE Trans. Fuzzy Syst., 2019)

Reduction foundation with multigranulation rough sets using discernibility. - Anhui Tan; Wei-Zhi Wu 001; Jinjin Li 001; Tongjun Li (Artif. Intell. Rev., 2020)

Granular matrix-based knowledge reductions of formal fuzzy contexts. - Yidong Lin; Jinjin Li 001; Anhui Tan; Jia Zhang (Int. J. Mach. Learn. Cybern., 2020)

Three-way decisions in fuzzy incomplete information systems. - Xiaoping Yang; Tongjun Li; Anhui Tan (Int. J. Mach. Learn. Cybern., 2020)

Fuzzy rough discrimination and label weighting for multi-label feature selection. - Anhui Tan; Jiye Liang; Wei-Zhi Wu 001; Jia Zhang; Lin Sun 002; Chao Chen (Neurocomputing, 2021)

Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels. - Lin Sun 002; Tianxiang Wang; Weiping Ding 001; Jiucheng Xu; Anhui Tan (Int. J. Intell. Syst., 2022)

Weak multi-label learning with missing labels via instance granular discrimination. - Anhui Tan; Xiaowan Ji; Jiye Liang; Yuzhi Tao; Wei-Zhi Wu 001; Witold Pedrycz (Inf. Sci., 2022)

Multi-granulation-based knowledge discovery in incomplete generalized multi-scale decision systems. - Jinbo Wang; Weizhi Wu 001; Anhui Tan (Int. J. Mach. Learn. Cybern., 2022)

Evidence theory based optimal scale selection for multi-scale ordered decision systems. - Jia-Wen Zheng; Weizhi Wu 001; Han Bao 012; Anhui Tan (Int. J. Mach. Learn. Cybern., 2022)

Semi-supervised partial multi-label classification via consistency learning. - Anhui Tan; Jiye Liang; Wei-Zhi Wu 001; Jia Zhang (Pattern Recognit., 2022)

Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications. - Anhui Tan; Suwei Shi; Weizhi Wu 001; Jinjin Li 001; Witold Pedrycz (IEEE Trans. Cybern., 2022)

A novel Multi-Label Leaming Approach for Missing and Noisy Labels. - Xiaolei Yang; Kai Liu; Shenming Gu; Anhui Tan (RICAI, 2023)

Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]. - Anhui Tan; Xiaowan Ji; Jiye Liang; Yuzhi Tao; Wei-Zhi Wu 001; Witold Pedrycz (Inf. Sci., 2023)

Pyramid feature boosted network for single image dehazing. - Guangrui Hu; Anhui Tan; Liangtian He; Haozhen Shen; Hongming Chen 003; Chao Wang 091; Huandi Du (Int. J. Mach. Learn. Cybern., 2023)

Multi-label classification with weak labels by learning label correlation and label regularization. - Xiaowan Ji; Anhui Tan; Wei-Zhi Wu 001; Shenming Gu (Appl. Intell., 2023)

Dynamic Graph Convolution Network for Multi-Label Class Incremental Learning. - Yu Wang; Anhui Tan; Shenming Gu (ICBASE, 2024)

Global and Local Graph Convolution Network for Multi-Label Class Incremental Learning. - Jianhang Xu; Anhui Tan; Shenming Gu (ICBASE, 2024)

Partial multi-label learning via semi-supervised subspace collaboration. - Anhui Tan; Wei-Zhi Wu (Knowl. Based Syst., 2024)

Entropy based optimal scale selection and attribute reduction in multi-scale interval-set decision tables. - Zhen-Huang Xie; Weizhi Wu 001; Lei-Xi Wang; Anhui Tan (Int. J. Mach. Learn. Cybern., 2024)

A novel variable-precision granular-ball fuzzy rough set and its application in feature subset selection. - Yongxi Chen; Zhehuang Huang; Anhui Tan; Jinjin Li (Appl. Soft Comput., 2025)

On optimal scale combinations in generalized multi-scale set-valued ordered information systems. - Jia-Ru Zhang; Weizhi Wu 001; Harry F. Lee; Anhui Tan (Int. J. Approx. Reason., 2025)

Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning. - Anhui Tan; Yu Wang 106; Wei-Zhi Wu 001; Weiping Ding 001; Jiye Liang (Inf. Fusion, 2025)

Optimal scale combination selection in generalized multi-scale hybrid decision systems. - Lei-Xi Wang; Wei-Zhi Wu; Zhen-Huang Xie; Anhui Tan (Inf. Sci., 2025)

Weakly supervised multi-label feature selection based on shared subspace. - Rongyi Shi; Anhui Tan; Suwei Shi; Jin Wang; Shenming Gu; Weizhi Wu 001 (Int. J. Mach. Learn. Cybern., 2025)

Partial Multilabel Learning via Dynamic Fuzzy Aggregations of Multigranularity Features. - Anhui Tan; Jianhang Xu; Weizhi Wu 001; Weiping Ding 001; Jiye Liang (IEEE Trans. Fuzzy Syst., 2025)