Kehua Yuan

According to our database, Kehua Yuan authored at least 19 papers between 2005 and 2026.

Collaborative distances:

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

2026

Zentropy-Enhanced Multigranularity Knowledge Modeling for Robust Feature Selection.

Kehua Yuan, Duoqian Miao, Witold Pedrycz, Yiyu Yao

IEEE Trans. Cybern., July, 2026

Adaptive Granular-Ball Concept-Cognitive Learning for Efficient and Robust Fuzzy Knowledge Representation in Classification Tasks.

Doudou Guo, Weihua Xu, Shuyin Xia, Weiping Ding, Yuhua Qian, Kehua Yuan

IEEE Trans. Fuzzy Syst., May, 2026

Robust Semi-Supervised Feature Selection With Multi-Granularity Zentropy Modeling.

Kehua Yuan, Duoqian Miao, Weiping Ding, Witold Pedrycz, Yiyu Yao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

Multi-granularity Knowledge Fusion for Feature Selection Using Granular-ball Entropy Uncertainty Measures.

Kehua Yuan, Yuji Bai, Duoqian Miao, Weiping Ding, Yiyu Yao, Hongyun Zhang, Witold Pedrycz

Int. J. Approx. Reason., 2026

Multi -granularity neighborhood-aware modeling for interference signal recognition in wireless communication systems.

Xinyu Ma, Jianxin Gai, Kehua Yuan

Int. J. Approx. Reason., 2026

2025

An Efficient and Robust Feature Selection Approach Based on Zentropy Measure and Neighborhood-Aware Model.

Kehua Yuan, Duoqian Miao, Hongyun Zhang, Witold Pedrycz

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection.

Kehua Yuan, Duoqian Miao, Witold Pedrycz, Hongyun Zhang, Liang Hu

IEEE Trans. Cybern., February, 2025

2024

Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery.

Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, Hongyun Zhang

IEEE Trans. Knowl. Data Eng., November, 2024

Feature Selection Using Zentropy-Based Uncertainty Measure.

Kehua Yuan, Duoqian Miao, Yiyu Yao, Hongyun Zhang, Xue Rong Zhao

IEEE Trans. Fuzzy Syst., April, 2024

A local rough set method for feature selection by variable precision composite measure.

Kehua Yuan, Weihua Xu, Duoqian Miao

Appl. Soft Comput., 2024

2023

An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution.

Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

2022

An incremental learning mechanism for object classification based on progressive fuzzy three-way concept.

Kehua Yuan, Weihua Xu, Wentao Li, Weiping Ding

Inf. Sci., 2022

Dynamic updating approximations of local generalized multigranulation neighborhood rough set.

Weihua Xu, Kehua Yuan, Wentao Li

Appl. Intell., 2022

2021

A comparative experimental evaluation on performance of type-1 and interval type-2 Takagi-Sugeno fuzzy models.

Kehua Yuan, Wentao Li, Weihua Xu, Tao Zhan, Libo Zhang, Shuai Liu

Int. J. Mach. Learn. Cybern., 2021

Multi-granulation-based optimal scale selection in multi-scale information systems.

Haoran Wang, Wentao Li, Tao Zhan, Kehua Yuan, Xingchen Hu

Comput. Electr. Eng., 2021

2020

Opinion Dynamics with Bayesian Learning.

Aili Fang, Kehua Yuan, Jinhua Geng, Xinjiang Wei

Complex., 2020

2008

Modeling language and tools for the semantic link network.

Hai Zhuge, Kehua Yuan, Jin Liu, Junsheng Zhang, Xiaofeng Wang

Concurr. Comput. Pract. Exp., 2008

2005

Using Fuzzy Cognitive Map to Effectively Classify E-Documents and Application.

Jianzeng Wang, Yunpeng Xing, Peng Shi, Fei Guo, Zhen Wang, Erlin Yao, Kehua Yuan, Junsheng Zhang

Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005

The Architecture and Implementation of Resource Space Model System.

Peng Shi, Yunpeng Xing, Erlin Yao, Zhen Wang, Kehua Yuan, Junsheng Zhang, Jianzeng Wang, Fei Guo

Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005