Binbin Sang

According to our database, Binbin Sang authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Binbin Sang, Shi-Jinn Horng, Tianrui Li, Chuan Luo

Eng. Appl. Artif. Intell., 2024

Distance metric learning-based multi-granularity neighborhood rough sets for attribute reduction.

Shaoguo Cui, Gengsen Li, Binbin Sang, Weihua Xu, Hongmei Chen

Appl. Soft Comput., 2024

2023

Active Antinoise Fuzzy Dominance Rough Feature Selection Using Adaptive K-Nearest Neighbors.

Binbin Sang, Weihua Xu, Hongmei Chen, Tianrui Li

IEEE Trans. Fuzzy Syst., November, 2023

Interactive fuzzy knowledge distance-guided attribute reduction with three-way accelerator.

Deyou Xia, Guoyin Wang, Qinghua Zhang, Jie Yang, Huanan Bao, Shuai Li, Binbin Sang

Knowl. Based Syst., November, 2023

Fuzzy rough feature selection using a robust non-linear vague quantifier for ordinal classification.

Binbin Sang, Lei Yang, Hongmei Chen, Weihua Xu, Xiaoyan Zhang

Expert Syst. Appl., November, 2023

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.

Jihong Wan, Hongmei Chen, Tianrui Li, Binbin Sang, Zhong Yuan

IEEE Trans. Fuzzy Syst., 2023

Vaguely quantified fuzzy dominance rough set and its incremental maintenance approximation approaches.

Lei Yang, Keyun Qin, Binbin Sang, Weihua Xu, Han Yang

Soft Comput., 2023

A novel incremental attribute reduction by using quantitative dominance-based neighborhood self-information.

Lei Yang, Keyun Qin, Binbin Sang, Chao Fu

Knowl. Based Syst., 2023

2022

Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems.

Zhong Yuan, Hongmei Chen, Tianrui Li, Xianyong Zhang, Binbin Sang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification.

Binbin Sang, Hongmei Chen, Lei Yang, Jihong Wan, Tianrui Li, Weihua Xu

IEEE Trans. Fuzzy Syst., 2022

Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets.

Binbin Sang, Hongmei Chen, Lei Yang, Tianrui Li, Weihua Xu

IEEE Trans. Fuzzy Syst., 2022

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data.

Zhong Yuan, Hongmei Chen, Tianrui Li, Binbin Sang, Shu Wang

IEEE Trans. Cybern., 2022

Dynamic maintenance of variable precision fuzzy neighborhood three-way regions in interval-valued fuzzy decision system.

Lei Yang, Keyun Qin, Binbin Sang, Weihua Xu

Int. J. Mach. Learn. Cybern., 2022

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.

Binbin Sang, Hongmei Chen, Jihong Wan, Lei Yang, Tianrui Li, Weihua Xu, Chuan Luo

Knowl. Based Syst., 2022

Unsupervised feature selection via self-paced learning and low-redundant regularization.

Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang

Knowl. Based Syst., 2022

2021

Neighborhood rough sets with distance metric learning for feature selection.

Xiaoling Yang, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang

Knowl. Based Syst., 2021

A novel hybrid feature selection method considering feature interaction in neighborhood rough set.

Jihong Wan, Hongmei Chen, Zhong Yuan, Tianrui Li, Xiaoling Yang, Binbin Sang

Knowl. Based Syst., 2021

Incremental attribute reduction approaches for ordered data with time-evolving objects.

Binbin Sang, Hongmei Chen, Lei Yang, Dapeng Zhou, Tianrui Li, Weihua Xu

Knowl. Based Syst., 2021

Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set.

Binbin Sang, Hongmei Chen, Lei Yang, Tianrui Li, Weihua Xu, Chuan Luo

Knowl. Based Syst., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.

Zhong Yuan, Hongmei Chen, Tianrui Li, Zeng Yu, Binbin Sang, Chuan Luo

Inf. Sci., 2021

Dynamic interaction feature selection based on fuzzy rough set.

Jihong Wan, Hongmei Chen, Tianrui Li, Xiaoling Yang, Binbin Sang

Inf. Sci., 2021

Dynamic fuzzy neighborhood rough set approach for interval-valued information systems with fuzzy decision.

Lei Yang, Keyun Qin, Binbin Sang, Weihua Xu

Appl. Soft Comput., 2021

2020

Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects.

Yanting Guo, Eric C. C. Tsang, Meng Hu, Xuxin Lin, Degang Chen, Weihua Xu, Binbin Sang

Knowl. Based Syst., 2020

Incremental approaches for heterogeneous feature selection in dynamic ordered data.

Binbin Sang, Hongmei Chen, Tianrui Li, Weihua Xu, Hong Yu

Inf. Sci., 2020

Multi-granulation method for information fusion in multi-source decision information system.

Lei Yang, Weihua Xu, Xiaoyan Zhang, Binbin Sang

Int. J. Approx. Reason., 2020

2019

Multi-granulation Rough Sets and Uncertainty Measurement for Multi-source Fuzzy Information System.

Lei Yang, Xiaoyan Zhang, Weihua Xu, Binbin Sang

Int. J. Fuzzy Syst., 2019

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system.

Binbin Sang, Lei Yang, Hongmei Chen, Weihua Xu, Yanting Guo, Zhong Yuan

Int. J. Approx. Reason., 2019

The Method of Data Analysis in Intuitionistic Fuzzy Generalized Consistent Decision Formal Context.

Binbin Sang, Binghan Long, Jinzhong Pang, Weihua Xu

Entropy, 2019

2018

Decision-theoretic rough set model of multi-source decision systems.

Binbin Sang, Yanting Guo, Derong Shi, Weihua Xu

Int. J. Mach. Learn. Cybern., 2018

2017

格值信息系统的粗糙熵与不确定度量 (Fuzzy Entropy and Uncertain Measurement in Lattice-valued Information Systems).

Xiaoyan Zhang, Binbin Sang, Ling Wei

计算机科学, 2017

直觉模糊序决策信息系统的分配约简 (Assignment Reduction of Intuitionistic Fuzzy Ordered Decision Information System).

Binbin Sang, Weihua Xu

计算机科学, 2017

Rough membership measure in intuitionistic fuzzy information system.

Binbin Sang, Weihua Xu

Proceedings of the 13th International Conference on Natural Computation, 2017