Bin Yu
Orcid: 0000-0002-6321-2129Affiliations:
- Hunan Normal University, School of Mathematics and Statistics, Changsha, China
According to our database1,
Bin Yu
authored at least 38 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
2025
SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set.
IEEE Trans. Fuzzy Syst., March, 2025
Multi-behavior purchase prediction via graph convolutional networks on implicit bipartite graph relationships.
Knowl. Based Syst., 2025
Knowl. Based Syst., 2025
A weighted heterogeneous graph attention network method for purchase prediction of potential consumers with Multibehaviors.
Inf. Process. Manag., 2025
Neurocomputing, 2025
A robust clustering algorithm based on weighted optimization of fuzzy feature difference using shadow sets.
Fuzzy Sets Syst., 2025
Fuzzy Sets Syst., 2025
Large-scale analytic hierarchy process method based on fuzzy-rough-advantage relation.
Eng. Appl. Artif. Intell., 2025
2024
VMCFDGS: Variable Multicenter Aggregation Clustering Method Based on Fuzzy Dominating (Dominated)-Granularity Structure.
IEEE Trans. Fuzzy Syst., December, 2024
IEEE Trans. Fuzzy Syst., August, 2024
A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern.
Inf. Fusion, March, 2024
PD-GATv2: positive difference second generation graph attention network based on multi-granularity in information systems to classification.
Appl. Intell., March, 2024
MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Inf. Sci., 2024
Three-way graph convolutional network for multi-label classification in multi-label information system.
Appl. Soft Comput., 2024
2023
Inf. Sci., December, 2023
A large-scale group decision-making method based on group-oriented rough dominance relation in scenic spot service improvement.
Expert Syst. Appl., December, 2023
A graph attention network under probabilistic linguistic environment based on Bi-LSTM applied to film classification.
Inf. Sci., November, 2023
Interpretable Multiattribute Predictive Analysis Model Based on Rough Fuzzy Sets and Logistic Regression.
IEEE Trans. Fuzzy Syst., October, 2023
Inf. Sci., October, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
Appl. Intell., July, 2023
A novel variable precision rough set attribute reduction algorithm based on local attribute significance.
Int. J. Approx. Reason., June, 2023
<i>K</i>-DGHC: A hierarchical clustering method based on <i>K</i>-dominance granularity.
Inf. Sci., 2023
PN-GCN: Positive-negative graph convolution neural network in information system to classification.
Inf. Sci., 2023
Optimizing group-oriented multiple attribute decision-making method based on dominance-based rough set model with advantaged (disadvantaged) neighborhoods.
Eng. Appl. Artif. Intell., 2023
2022
Int. J. Mach. Learn. Cybern., 2022
A graph convolutional network based on object relationship method under linguistic environment applied to film evaluation.
Inf. Sci., 2022
Multi-attribute predictive analysis based on attribute-oriented fuzzy rough sets in fuzzy information systems.
Inf. Sci., 2022
A Novel Dominance-Based Rough Set Model with Advantage (Disadvantage) Neighborhoods and Its Applications to Assess Sales Group.
Int. J. Fuzzy Syst., 2022
A novel multi-attribute decision-making method based on neighborhood approximations and its application.
Expert Syst. Appl., 2022
Advantage matrix: two novel multi-attribute decision-making methods and their applications.
Artif. Intell. Rev., 2022
2020
Expert Syst. Appl., 2020
2019
Knowl. Based Syst., 2019
A characterization of novel rough fuzzy sets of information systems and their application in decision making.
Expert Syst. Appl., 2019
2018