Bin Yu

Orcid: 0000-0002-6321-2129

Affiliations:
  • Hunan Normal University, School of Mathematics and Statistics, Changsha, China


According to our database1, Bin Yu authored at least 25 papers between 2018 and 2024.

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Bibliography

2024
A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern.
Inf. Fusion, 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

FRCM: A fuzzy rough <i>c</i>-means clustering method.
Fuzzy Sets Syst., 2024

2023
CLIG: A classification method based on bidirectional layer information granularity.
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

A bi-variable precision rough set model and its application to attribute reduction.
Inf. Sci., October, 2023

Local Feature Selection for Large-Scale Data Sets With Limited Labels.
IEEE Trans. Knowl. Data Eng., July, 2023

A novel approach to multi-attribute predictive analysis based on rough fuzzy sets.
Appl. Intell., July, 2023

A novel variable precision rough set attribute reduction algorithm based on local attribute significance.
Int. J. Approx. Reason., June, 2023

A twin logistic regression method based on attribute-oriented fuzzy rough set.
J. Intell. Fuzzy Syst., 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
Group decision-making method with directed graph under linguistic environment.
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
A novel approach to predictive analysis using attribute-oriented rough fuzzy sets.
Expert Syst. Appl., 2020

2019
A λ-rough set model and its applications with TOPSIS method to decision making.
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
<i>L</i>-fuzzy prime spectra of ordered semigroups.
J. Intell. Fuzzy Syst., 2018


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