Degang Chen

North China Electric Power University

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Eric C. C. Tsang

Macau University of Science and Technology

Changzhong Wang

Bohai University

Qinghua Hu

Tianjin University

Yanyan Yang

Beijing Jiaotong University

Xizhao Wang

Shenzhen University

Hui Wang

Queen's University Belfast

Weihua Xu

Southwest University

Yanting Guo

American School of Milan

Xiaoya Che

North China Electric Power University

Jinhai Li

Kunming University of Science and Technology

Cooperative Institutions

North China Electric Power University

Harbin Institute of Technology

Chinese Academy of Sciences

Tsinghua University

Tianjin University

Hong Kong Polytechnic University

Xinjiang Normal University

Heilongjiang Institute of Technology

Macau University of Science and Technology

Zhejiang University

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Research Field

Alignment Based Feature Selection for Multi-label Learning

Neural Processing Letters (2019)

Linlin Chen Degang Chen

Kernel (algebra)

Multiple kernel learning

Feature (linguistics)

10.1007/s11063-019-10009-9

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Citations (15)

Optimal granularity selection based on algorithm stability with application to attribute reduction in rough set theory

Information Sciences (2023)

Yue Gao Degang Chen Hui Wang

Granularity

Granular Computing

10.1016/j.ins.2023.119845

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Citations (3)

Communication between information systems with covering based rough sets

Information Sciences (2012)

Changzhong Wang Degang Chen Baiqing Sun Qinghua Hu

Information exchange

Decision system

Granular Computing

10.1016/j.ins.2012.06.010

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Citations (56)

Nonlinear Dynamic Systems and Application to Lorenz Equation

International Conference on Machine Learning and Cybernetics (2006)

Guodong Li Degang Chen Zhenyu Zhao Zhen-jun Ye

We present the concept of the complexity radii of nonlinear dynamic system (NDS) with linear perturbations. In this paper we improve the algorithm of the complexity radii. As a "robust measure" of dynamic complexity of NDS, the complexity radii provide the tolerated parameter perturbation values of NDS without losing its dynamic complexity. As an application, the real complexity radii of Lorenz equation have been calculated. Numeric simulation results showed that the perturbed Lorenz equation still generates strange attractor if the norms of the corresponding parameter perturbation matrices were less that the complexity radii of the Lorenz equation

Lorenz system

Dynamic equation

10.1109/icmlc.2006.258349

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Citations (0)

Least squares support vector machines based on fuzzy rough set

Zhiwei Zhang Degang Chen Qiang He Hui Wang

In this paper, a new approach to improve least squares support vector machines is presented. We consider the membership of every sample in constraints, that is to say, every sample are not fully assigned to one class. The membership is computed by employing the technique of fuzzy rough sets, and then a new least squares support vector machine algorithm based on fuzzy rough sets is proposed, experiments are carried out to show that our idea in this paper is feasible and valid.

Sample (material)

Least-squares function approximation

10.1109/icsmc.2010.5642029

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Citations (2)

Granular structures of fuzzy rough sets based on general fuzzy relations

Zhang Xiao Changlin Mei Degang Chen

Existing studies on the granular structures of fuzzy rough sets are mainly proposed based on the T-similarity relations which are only a special kind of fuzzy relations. Therefore, it is of interest to extend the study to more general situations in order to expand the application scope of the fuzzy rough set theory. In this paper, the granular structures of the S-lower, T-upper, #-lower and crupper approximations of the fuzzy sets are established based on more general fuzzy relations.

Scope (computer science)

Defuzzification

Similarity (geometry)

Fuzzy Mathematics

Granular Computing

10.1109/icmlc.2015.7340661

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Citations (0)

Ranking defects and solving countermeasures for Pythagorean fuzzy sets with hesitant degree

International Journal of Machine Learning and Cybernetics (2022)

Gang Sun Xiaoping Li Degang Chen

Centroid