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Yidong Lin
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2020 – today
- 2025
- [j21]Taoju Liang, Yidong Lin, Jinjin Li, Guoping Lin, Qijun Wang:
Incremental cognitive learning approach based on concept reduction. Int. J. Approx. Reason. 179: 109359 (2025) - 2024
- [j20]Shanshan Jiang, Guoping Lin, Jinjin Li, Yidong Lin:
A novel multi-source TWD model based on multi-granularity ball for multiple decision makers. Expert Syst. Appl. 251: 124086 (2024) - [j19]Chengling Zhang, Eric C. C. Tsang, Weihua Xu, Yidong Lin, Lanzhen Yang, Jiaming Wu:
Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts. Inf. Sci. 655: 119818 (2024) - [j18]Yinfeng Zhou, Hai-Long Yang, Jinjin Li, Yidong Lin:
Automata for knowledge assessment based on the structure of observed learning outcome taxonomy. Inf. Sci. 659: 120058 (2024) - [j17]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan:
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5721-5734 (2024) - 2023
- [j16]Ju Huang, Yidong Lin, Jinjin Li:
Rule reductions of decision formal context based on mixed information. Appl. Intell. 53(12): 15459-15475 (2023) - [j15]Tingyi Wu, Fucai Lin, Yidong Lin:
Attribute subset selection via neighborhood composite entropy-based fuzzy β-covering. Fuzzy Sets Syst. 472: 108683 (2023) - [j14]Linlin Xie, Guoping Lin, Jinjin Li, Yidong Lin:
A novel fuzzy-rough attribute reduction approach via local information entropy. Fuzzy Sets Syst. 473: 108733 (2023) - [j13]Cheng-Ling Zhang, Eric C. C. Tsang, Weihua Xu, Yidong Lin, Lanzhen Yang:
Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts. Knowl. Based Syst. 260: 110093 (2023) - 2022
- [j12]Shujiao Liao, Yidong Lin, Jinjin Li, Huiling Li, Yuhua Qian:
Attribute-scale selection for hybrid data with test cost constraint: The approach and uncertainty measures. Int. J. Intell. Syst. 37(6): 3297-3333 (2022) - [j11]Rong Wu, Yidong Lin:
SOLO taxonomy-based knowledge structure with subjective items. J. Intell. Fuzzy Syst. 43(1): 265-278 (2022) - [j10]Liying Yang, Jinjin Li, Chengling Zhang, Yidong Lin:
A New Approach of Knowledge Reduction in Knowledge Context Based on Boolean Matrix. Symmetry 14(5): 850 (2022) - [j9]Wenbin Zheng, Jinjin Li, Shujiao Liao, Yidong Lin:
Multi-Label Attribute Reduction Based on Neighborhood Multi-Target Rough Sets. Symmetry 14(8): 1652 (2022) - 2021
- [j8]Wen Sun, Jinjin Li, Xun Ge, Yidong Lin:
Knowledge structures delineated by fuzzy skill maps. Fuzzy Sets Syst. 407: 50-66 (2021) - [j7]Chengling Zhang, Jinjin Li, Yidong Lin:
Matrix-based reduction approach for one-sided fuzzy three-way concept lattices. J. Intell. Fuzzy Syst. 40(6): 11393-11410 (2021) - [j6]Chengling Zhang, Jinjin Li, Yidong Lin:
Knowledge reduction of pessimistic multigranulation rough sets in incomplete information systems. Soft Comput. 25(20): 12825-12838 (2021) - [c2]Cheng-Ling Zhang, Eric C. C. Tsang, Wei-Hua Xu, Yidong Lin:
A Matrix-Based Granular Reduct Approach in Formal Contexts. ICMLC 2021: 1-6 - 2020
- [j5]Yidong Lin, Jinjin Li, Liangxue Peng, Ziqin Feng:
Minimal Base for Finite Topological Space by Matrix Method. Fundam. Informaticae 174(2): 167-183 (2020) - [j4]Yidong Lin, Jinjin Li, Shujiao Liao, Jia Zhang, Jinghua Liu:
Reduction of fuzzy-crisp concept lattice based on order-class matrix. J. Intell. Fuzzy Syst. 39(5): 8001-8013 (2020) - [j3]Yidong Lin, Jinjin Li, Anhui Tan, Jia Zhang:
Granular matrix-based knowledge reductions of formal fuzzy contexts. Int. J. Mach. Learn. Cybern. 11(3): 643-656 (2020) - [j2]Yidong Lin, Jinjin Li, Hongkun Wang:
Granular matrix method of attribute reduction in formal contexts. Soft Comput. 24(21): 16303-16314 (2020) - [c1]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan:
Multi-label Feature Selection via Global Relevance and Redundancy Optimization. IJCAI 2020: 2512-2518
2010 – 2019
- 2019
- [j1]Yidong Lin, Jinjin Li:
A Boolean matrix approach for granular reduction in formal fuzzy contexts. J. Intell. Fuzzy Syst. 37(4): 5217-5228 (2019)
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