Generating fuzzy factor groups and the fundamental theorem of isomorphism. - De-Gang Chen 002; Wen-Xiang Gu (Fuzzy Sets Syst., 1996)

Fuzzy homomorphisms. - Su-Yun Li; De-Gang Chen 002; Wen-Xiang Gu; Hui Wang 001 (Fuzzy Sets Syst., 1996)

Fuzzy factor rings. - De-Gang Chen 002; Su-Yun Li (Fuzzy Sets Syst., 1998)

Properties of the T-fuzzy factor groups. - De-Gang Chen 002 (Fuzzy Sets Syst., 1998)

The expressional theorem of a fuzzy unit interval and its application. - De-Gang Chen 002 (Fuzzy Sets Syst., 1999)

The Lower and Upper Approximations of Fuzzy Sets in a Fuzzy Group. - Degang Chen 002; Wen-Xiu Zhang (AFSS, 2002)

The Part Reductions in Information Systems. - Degang Chen 002 (Rough Sets and Current Trends in Computing, 2004)

The Infinite Polynomial Kernel for Support Vector Machine. - Degang Chen 002; Qiang He 003; Xizhao Wang (ADMA, 2005)

A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. - Degang Chen 002; Qiang He 003; Chunru Dong; Xizhao Wang (ICMLC, 2005)

On the Local Reduction of Information System. - Degang Chen 002; Eric C. C. Tsang (ICMLC, 2005)

On attributes reduction with fuzzy rough sets. - Gloria C. Y. Tsang; Degang Chen 002; Eric C. C. Tsang; John W. T. Lee; Daniel S. Yeung (SMC, 2005)

Some notes on equivalent fuzzy sets and fuzzy subgroups. - Degang Chen 002; Jiashang Jiang; Congxin Wu; Eric C. C. Tsang (Fuzzy Sets Syst., 2005)

A genetic algorithm for solving the inverse problem of support vector machines. - Xizhao Wang; Qiang He 003; Degang Chen 002; Daniel S. Yeung (Neurocomputing, 2005)

The product structure of fuzzy rough sets on a group and the rough T-fuzzy group. - Jiashang Jiang; Congxin Wu; Degang Chen 002 (Inf. Sci., 2005)

On the generalization of fuzzy rough sets. - Daniel S. Yeung; Degang Chen 002; Eric C. C. Tsang; John W. T. Lee; Xizhao Wang (IEEE Trans. Fuzzy Syst., 2005)

A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. - Eric C. C. Tsang; Degang Chen 002; Suyun Zhao; Qiang He 003 (SMC, 2006)

Approximation theorem of the fuzzy transform in fuzzy reasoning and its application to the scheduling problem. - Min Liu 013; Degang Chen 002; Cheng Wu; Hongxing Li 004 (Comput. Math. Appl., 2006)

Fuzzy reasoning based on a new fuzzy rough set and its application to scheduling problems. - Min Liu 013; Degang Chen 002; Cheng Wu; Hongxing Li (Comput. Math. Appl., 2006)

Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems. - Min Liu 013; Degang Chen 002; Cheng Wu; Hongxing Li (Comput. Math. Appl., 2006)

Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. - Degang Chen 002; Wenxiu Zhang; Daniel S. Yeung; Eric C. C. Tsang (Inf. Sci., 2006)

Attribute Reduction Based on Fuzzy Rough Sets. - Degang Chen 002; Xizhao Wang; Suyun Zhao (RSEISP, 2007)

Homomorphisms Between Relation Information Systems. - Changzhong Wang; Congxin Wu; Degang Chen 002 (RSKT, 2007)

An approach of attributes reduction based on fuzzy TL rough sets. - Degang Chen 002; Eric C. C. Tsang; Suyun Zhao (SMC, 2007)

On linear separability of data sets in feature space. - Degang Chen 002; Qiang He 003; Xizhao Wang (Neurocomputing, 2007)

A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. - Degang Chen 002; Changzhong Wang; Qinghua Hu (Inf. Sci., 2007)

Learning fuzzy rules from fuzzy samples based on rough set technique. - Xizhao Wang; Eric C. C. Tsang; Suyun Zhao; Degang Chen 002; Daniel S. Yeung (Inf. Sci., 2007)

On the integrable noncompact fuzzy number space. - Degang Chen 002; Xiaoping Xue 001; Liangkuan Zhu (Appl. Math. Lett., 2008)

Some properties of relation information systems under homomorphisms. - Changzhong Wang; Congxin Wu; Degang Chen 002; Wenju Du 003 (Appl. Math. Lett., 2008)

Approximations and reducts with covering generalized rough sets. - Eric C. C. Tsang; Degang Chen 002; Daniel S. Yeung (Comput. Math. Appl., 2008)

Measures of general fuzzy rough sets on a probabilistic space. - Degang Chen 002; Wenxia Yang; Fachao Li 001 (Inf. Sci., 2008)

Rough set theory for the interval-valued fuzzy information systems. - Zengtai Gong; Bingzhen Sun; Degang Chen 002 (Inf. Sci., 2008)

Fuzzy rough set theory for the interval-valued fuzzy information systems. - Bingzhen Sun; Zengtai Gong; Degang Chen 002 (Inf. Sci., 2008)

A systematic study on attribute reduction with rough sets based on general binary relations. - Changzhong Wang; Congxin Wu; Degang Chen 002 (Inf. Sci., 2008)

Communicating between information systems. - Changzhong Wang; Congxin Wu; Degang Chen 002; Qinghua Hu; Chong Wu (Inf. Sci., 2008)

Preface: Recent advances in granular computing. - Daniel S. Yeung; Xizhao Wang; Degang Chen 002 (Inf. Sci., 2008)

Attributes Reduction Using Fuzzy Rough Sets. - Eric C. C. Tsang; Degang Chen 002; Daniel S. Yeung; Xizhao Wang; John W. T. Lee (IEEE Trans. Fuzzy Syst., 2008)

Kernelized Fuzzy Rough Sets. - Qinghua Hu; Degang Chen 002; Daren Yu; Witold Pedrycz (RSKT, 2009)

Homomorphisms between fuzzy information systems. - Changzhong Wang; Degang Chen 002; Liangkuan Zhu (Appl. Math. Lett., 2009)

The Model of Fuzzy Variable Precision Rough Sets. - Suyun Zhao; Eric C. C. Tsang; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2009)

Sample selection with rough set. - Degang Chen 002; Xiao Zhang 012; Eric C. C. Tsang; Yongping Yang (ICMLC, 2010)

On the fuzzy generalization of the Dempster-Shafer theory of evidence. - Eric C. C. Tsang; Degang Chen 002 (ICMLC, 2010)

Data mining-based modeling and application in the energy-saving analysis of large coal-fired power units. - Yongping Yang; Ning-Ling Wang; Zhi-Wei Zhang; Degang Chen 002 (ICMLC, 2010)

Least squares support vector machines based on fuzzy rough set. - Zhi-Wei Zhang; Degang Chen 002; Qiang He 003; Hui Wang 001 (SMC, 2010)

Some invariant properties of ordered information systems under homomorphism. - Changzhong Wang; Degang Chen 002; Qinghua Hu (Sci. China Inf. Sci., 2010)

A short note on some properties of rough groups. - Changzhong Wang; Degang Chen 002 (Comput. Math. Appl., 2010)

FRSVMs: Fuzzy rough set based support vector machines. - Degang Chen 002; Qiang He 003; Xizhao Wang (Fuzzy Sets Syst., 2010)

Local reduction of decision system with fuzzy rough sets. - Degang Chen 002; Suyun Zhao (Fuzzy Sets Syst., 2010)

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. - Qinghua Hu; Lei Zhang 006; Degang Chen 002; Witold Pedrycz; Daren Yu (Int. J. Approx. Reason., 2010)

Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. - Suyun Zhao; Eric C. C. Tsang; Degang Chen 002; Xizhao Wang (IEEE Trans. Knowl. Data Eng., 2010)

A new method for multi-class support vector machines by training least number of classifiers. - Ran Wang 001; Sam Kwong; Degang Chen 002 (ICMLC, 2011)

Novel algorithms of attribute reduction for variable precision rough set. - Yanyan Yang 001; Degang Chen 002; Sam Kwong (ICMLC, 2011)

Soliton fission and fusion of a new two-component Korteweg-de Vries (KdV) equation. - Xuelin Yong; Yongping Yang; Degang Chen 002 (Comput. Math. Appl., 2011)

Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring. - Yong Du; Qinghua Hu; Degang Chen 002; Peijun Ma (Fundam. Informaticae, 2011)

Data compression with homomorphism in covering information systems. - Changzhong Wang; Degang Chen 002; Chong Wu; Qinghua Hu (Int. J. Approx. Reason., 2011)

Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets. - Degang Chen 002; Qinghua Hu; Yongping Yang (Inf. Sci., 2011)

Fuzzy rough set based attribute reduction for information systems with fuzzy decisions. - Qiang He 003; Congxin Wu; Degang Chen 002; Suyun Zhao (Knowl. Based Syst., 2011)

Granular computing based on fuzzy similarity relations. - Degang Chen 002; Yongping Yang; Hui Wang 001 (Soft Comput., 2011)

Kernelized Fuzzy Rough Sets and Their Applications. - Qinghua Hu; Daren Yu; Witold Pedrycz; Degang Chen 002 (IEEE Trans. Knowl. Data Eng., 2011)

Improved Algorithm and Further Research of β -reduct for variable precision rough set. - Yanyan Yang 001; Degang Chen 002 (GrC, 2012)

A new method of attribute reduction for covering rough sets. - Wan-Lv Li; Degang Chen 002; Yanyan Yang 001 (ICMLC, 2012)

An attribute reduction method based on core samples set. - Eric C. C. Tsang; Chen-Xia Jin; Degang Chen 002; Fa-Chao Li 001 (ICMLC, 2012)

FRS-based decision table reduction for the operation optimization of large coal-fired power units. - Ning-Ling Wang; Degang Chen 002; Yongping Yang; Ting Zhang (ICMLC, 2012)

Fuzzy rough sets based uncertainty measuring for stream based active learning. - Ran Wang 001; Sam Kwong; Degang Chen 002; Qiang He 003 (ICMLC, 2012)

SVR-GA-Based adaptive power coal rate modeling and optimization for large coal-fired power units. - Ning-Ling Wang; Ting Zhang; Yongping Yang; Degang Chen 002 (ICMLC, 2012)

Geometrical interpretation and applications of membership functions with fuzzy rough sets. - Degang Chen 002; Sam Kwong; Qiang He 003; Hui Wang 001 (Fuzzy Sets Syst., 2012)

Communication between information systems with covering based rough sets. - Changzhong Wang; Degang Chen 002; Baiqing Sun; Qinghua Hu (Inf. Sci., 2012)

Parameterized Local Reduction of Decision Systems. - Degang Chen 002; Yanyan Yang 001; Xiao Zhang 012 (J. Appl. Math., 2012)

Inconsistency-based active learning for support vector machines. - Ran Wang 001; Sam Kwong; Degang Chen 002 (Pattern Recognit., 2012)

A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets. - Degang Chen 002; Lei Zhang 006; Suyun Zhao; Qinghua Hu; Pengfei Zhu 001 (IEEE Trans. Fuzzy Syst., 2012)

Sample Pair Selection for Attribute Reduction with Rough Set. - Degang Chen 002; Suyun Zhao; Lei Zhang 006; Yongping Yang; Xiao Zhang 012 (IEEE Trans. Knowl. Data Eng., 2012)

A new algorithm of attribute reduction based on fuzzy clustering. - Min Zhang; Degang Chen 002; Yanyan Yang 001 (ICMLC, 2013)

A Comparative Study of Ordered and Covering Information Systems. - Changzhong Wang; Degang Chen 002; Qiang He 003; Qinghua Hu (Fundam. Informaticae, 2013)

A vector-valued support vector machine model for multiclass problem. - Ran Wang 001; Sam Kwong; Degang Chen 002; Jingjing Cao (Inf. Sci., 2013)

Nested structure in parameterized rough reduction. - Suyun Zhao; Xizhao Wang; Degang Chen 002; Eric C. C. Tsang (Inf. Sci., 2013)

Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Jinhai Li (Knowl. Based Syst., 2013)

On rough approximations of groups. - Changzhong Wang; Degang Chen 002; Qinghua Hu (Int. J. Mach. Learn. Cybern., 2013)

Communication Between Information Systems Using Fuzzy Rough Sets. - Eric C. C. Tsang; Changzhong Wang; Degang Chen 002; Congxin Wu; Qinghua Hu (IEEE Trans. Fuzzy Syst., 2013)

Generalized Dominance-Based Rough Set Model for the Dominance Intuitionistic Fuzzy Information Systems. - Xiaoxia Zhang; Degang Chen 002 (RSKT, 2014)

Structure of feature spaces related to fuzzy similarity relations as kernels. - Degang Chen 002; Deli Zhang (Fuzzy Sets Syst., 2014)

Fuzzy information systems and their homomorphisms. - Changzhong Wang; Degang Chen 002; Qinghua Hu (Fuzzy Sets Syst., 2014)

Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets. - Degang Chen 002; Wanlu Li; Xiao Zhang 012; Sam Kwong (Int. J. Approx. Reason., 2014)

Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Jinhai Li (Int. J. Approx. Reason., 2014)

Novel algorithms of attribute reduction with variable precision rough set model. - Yanyan Yang 001; Degang Chen 002; Ze Dong (Neurocomputing, 2014)

Rough approximation of a fuzzy concept on a hybrid attribute information system and its uncertainty measure. - Bingzhen Sun; Weimin Ma; Degang Chen 002 (Inf. Sci., 2014)

A novel method for attribute reduction of covering decision systems. - Changzhong Wang; Qiang He 003; Degang Chen 002; Qinghua Hu (Inf. Sci., 2014)

Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models. - Degang Chen 002; Yanyan Yang 001 (IEEE Trans. Fuzzy Syst., 2014)

Fuzzy-Rough-Set-Based Active Learning. - Ran Wang 001; Degang Chen 002; Sam Kwong (IEEE Trans. Fuzzy Syst., 2014)

Parameterized reduction of covering decision systems. - De-Liang Ma; De-Gang Chen 002; Xiao-Xia Zhang (ICMLC, 2015)

Granular structures of fuzzy rough sets based on general fuzzy relations. - Xiao Zhang 012; Changlin Mei; Degang Chen 002 (ICMLC, 2015)

Novel Multi-output Support Vector Regression Model via Double Regularization. - Yanyan Yang 001; Degang Chen 002; Ze Dong (SMC, 2015)

On measurements of covering rough sets based on granules and evidence theory. - Degang Chen 002; Xiaoxia Zhang; Wanlu Li (Inf. Sci., 2015)

Pricing electric power options by maximizing the utility of investment wealth with fuzzy measures. - Yundong Gu; Yajing An; Degang Chen 002; Sujie Zhang (Int. J. Mach. Learn. Cybern., 2015)

Minimum decision cost reduct for fuzzy decision-theoretic rough set model. - Jingjing Song; Eric C. C. Tsang; Degang Chen 002; Xibei Yang (ICMLC, 2016)

An incremental algorithm for attribute reduction with variable precision rough sets. - Degang Chen 002; Yanyan Yang 001; Ze Dong (Appl. Soft Comput., 2016)

Feature and instance reduction for PNN classifiers based on fuzzy rough sets. - Eric C. C. Tsang; Qinghua Hu; Degang Chen 002 (Int. J. Mach. Learn. Cybern., 2016)

Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Jinhai Li (Pattern Recognit., 2016)

Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving. - Yanyan Yang 001; Degang Chen 002; Hui Wang 001; Eric C. C. Tsang; Deli Zhang (Fuzzy Sets Syst., 2017)

Granular Computing Based Machine Learning in the Era of Big Data. - Qinghua Hu; Ju-Sheng Mi; Degang Chen 002 (Inf. Sci., 2017)

Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems. - Xiaoxia Zhang; Degang Chen 002; Eric C. C. Tsang (Inf. Sci., 2017)

Minimal decision cost reduct in fuzzy decision-theoretic rough set model. - Jingjing Song; Eric C. C. Tsang; Degang Chen 002; Xibei Yang (Knowl. Based Syst., 2017)

Toward an efficient fuzziness based instance selection methodology for intrusion detection system. - Rana Aamir Raza Ashfaq; Yu-Lin He; De-gang Chen 002 (Int. J. Mach. Learn. Cybern., 2017)

A Fitting Model for Feature Selection With Fuzzy Rough Sets. - Changzhong Wang; Yali Qi; Mingwen Shao; Qinghua Hu; Degang Chen 002; Yuhua Qian; Yaojin Lin (IEEE Trans. Fuzzy Syst., 2017)

Active Sample Selection Based Incremental Algorithm for Attribute Reduction With Rough Sets. - Yanyan Yang 001; Degang Chen 002; Hui Wang 001 (IEEE Trans. Fuzzy Syst., 2017)

Logical Disjunction Double-Quantitative Fuzzy Rough Sets. - Yanting Guo; Eric C. C. Tsang; Weihua Xu 003; Degang Chen 002 (ICMLC, 2018)

Uncertainty learning of rough set-based prediction under a holistic framework. - Degang Chen 002; Xiaoxia Zhang; Xizhao Wang; Yanjun Liu 008 (Inf. Sci., 2018)

Information fusion and numerical characterization of a multi-source information system. - Xiaoya Che; Ju-Sheng Mi; Degang Chen 002 (Knowl. Based Syst., 2018)

A fuzzy rough set-based feature selection method using representative instances. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Yanyan Yang 001 (Knowl. Based Syst., 2018)

Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets. - Yanyan Yang 001; Degang Chen 002; Hui Wang 001; Xizhao Wang (IEEE Trans. Fuzzy Syst., 2018)

Feature Selection Based on Neighborhood Discrimination Index. - Changzhong Wang; Qinghua Hu; Xizhao Wang; Degang Chen 002; Yuhua Qian; Zhe Dong (IEEE Trans. Neural Networks Learn. Syst., 2018)

Uncertainty measures for general fuzzy relations. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Degang Chen 002 (Fuzzy Sets Syst., 2019)

Local logical disjunction double-quantitative rough sets. - Yanting Guo; Eric C. C. Tsang; Weihua Xu 003; Degang Chen 002 (Inf. Sci., 2019)

Attribute-oriented cognitive concept learning strategy: a multi-level method. - Bingjiao Fan; Eric C. C. Tsang; Weihua Xu 003; Degang Chen 002; Wentao Li 004 (Int. J. Mach. Learn. Cybern., 2019)

Order based hierarchies on hesitant fuzzy approximation space. - Eric C. C. Tsang; Jingjing Song; Degang Chen 002; Xibei Yang (Int. J. Mach. Learn. Cybern., 2019)

Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion. - Xiaoxia Zhang; Degang Chen 002; Kesheng Wu (Int. J. Mach. Learn. Cybern., 2019)

A novel algorithm for the vertex cover problem based on minimal elements of discernibility matrix. - Shengyang Zhuang; Degang Chen 002 (Int. J. Mach. Learn. Cybern., 2019)

Alignment Based Feature Selection for Multi-label Learning. - Linlin Chen; Degang Chen 002 (Neural Process. Lett., 2019)

Alignment Based Kernel Selection for Multi-Label Learning. - Linlin Chen; Degang Chen 002; Hui Wang 001 (Neural Process. Lett., 2019)

Fuzzy Kernel Alignment With Application to Attribute Reduction of Heterogeneous Data. - Linlin Chen; Degang Chen 002; Hui Wang 001 (IEEE Trans. Fuzzy Syst., 2019)

Covering-Based Variable Precision $( mathcal {I}, mathcal {T})$-Fuzzy Rough Sets With Applications to Multiattribute Decision-Making. - Haibo Jiang; Jianming Zhan 001; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2019)

A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set. - Meng Hu; Eric C. C. Tsang; Yanting Guo; Weihua Xu 003; Degang Chen 002 (ICMLC, 2020)

A novel approach for learning label correlation with application to feature selection of multi-label data. - Xiaoya Che; Degang Chen 002; Ju-Sheng Mi (Inf. Sci., 2020)

Key energy-consumption feature selection of thermal power systems based on robust attribute reduction with rough sets. - Lianjie Dong; Degang Chen 002; Ning-Ling Wang; Zhanhui Lu (Inf. Sci., 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 002; Weihua Xu 003; Binbin Sang (Knowl. Based Syst., 2020)

Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets. - Yanting Guo; Eric C. C. Tsang; Weihua Xu 003; Degang Chen 002 (Knowl. Based Syst., 2020)

Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes. - Lianjie Dong; Degang Chen 002 (Int. J. Mach. Learn. Cybern., 2020)

Discernible neighborhood counting based incremental feature selection for heterogeneous data. - Yanyan Yang 001; Shiji Song; Degang Chen 002; Xiao Zhang 012 (Int. J. Mach. Learn. Cybern., 2020)

Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute. - Degang Chen 002; Lianjie Dong; Ju-Sheng Mi (Soft Comput., 2020)

Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features. - Eric C. C. Tsang; Bingjiao Fan; Degang Chen 002; Weihua Xu 003; Wentao Li 004 (Soft Comput., 2020)

Feature Selection Based on Neighborhood Self-Information. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Qinghua Hu; Degang Chen 002 (IEEE Trans. Cybern., 2020)

Fuzzy Rough Attribute Reduction for Categorical Data. - Changzhong Wang; Yan Wang; Mingwen Shao; Yuhua Qian; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2020)

Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy. - Xiao Zhang 012; Changlin Mei; Degang Chen 002; Yanyan Yang 001; Jinhai Li (IEEE Trans. Fuzzy Syst., 2020)

Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. - Qingshuo Zhang; Eric C. C. Tsang; Meng Hu; Qiang He 003; Degang Chen 002 (ICMLC, 2021)

PROMETHEE II method based on variable precision fuzzy rough sets with fuzzy neighborhoods. - Haibo Jiang; Jianming Zhan 001; Degang Chen 002 (Artif. Intell. Rev., 2021)

Jensen's inequalities for set-valued and fuzzy set-valued functions. - Deli Zhang; Caimei Guo; Degang Chen 002; Guijun Wang (Fuzzy Sets Syst., 2021)

A novel approach to attribute reduction based on weighted neighborhood rough sets. - Meng Hu; Eric C. C. Tsang; Yanting Guo; Degang Chen 002; Weihua Xu 003 (Knowl. Based Syst., 2021)

Feature distribution-based label correlation in multi-label classification. - Xiaoya Che; Degang Chen 002; Jusheng Mi (Int. J. Mach. Learn. Cybern., 2021)

Covering-based variable precision L-fuzzy rough sets based on residuated lattices and corresponding applications. - Haibo Jiang; Jianming Zhan 001; Degang Chen 002 (Int. J. Mach. Learn. Cybern., 2021)

Choquet integral Jensen's inequalities for set-valued and fuzzy set-valued functions. - Deli Zhang; Caimei Guo; Degang Chen 002; Guijun Wang (Soft Comput., 2021)

Incremental feature selection by sample selection and feature-based accelerator. - Yanyan Yang 001; Degang Chen 002; Xiao Zhang 012; Zhenyan Ji; Yingjun Zhang (Appl. Soft Comput., 2022)

Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets. - Xiaoya Che; Degang Chen 002; Jusheng Mi (Fuzzy Sets Syst., 2022)

Attribute reduction based on overlap degree and k-nearest-neighbor rough sets in decision information systems. - Meng Hu; Eric C. C. Tsang; Yanting Guo; Degang Chen 002; Weihua Xu 003 (Inf. Sci., 2022)

A dynamic rule-based classification model via granular computing. - Jiaojiao Niu; Degang Chen 002; Jinhai Li; Hui Wang 001 (Inf. Sci., 2022)

Improving nonnegative matrix factorization with advanced graph regularization. - Xiaoxia Zhang; Degang Chen 002; Hong Yu 007; Guoyin Wang 001; Houjun Tang; Kesheng Wu (Inf. Sci., 2022)

A robust approach to attribute reduction based on double fuzzy consistency measure. - Yanting Guo; Meng Hu; Xizhao Wang; Eric C. C. Tsang; Degang Chen 002; Weihua Xu 003 (Knowl. Based Syst., 2022)

A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint. - Meng Hu; Eric C. C. Tsang; Yanting Guo; Qingshuo Zhang; Degang Chen 002; Weihua Xu 003 (Int. J. Mach. Learn. Cybern., 2022)

Incremental calculation approaches for granular reduct in formal context with attribute updating. - Jiaojiao Niu; Degang Chen 002 (Int. J. Mach. Learn. Cybern., 2022)

Ranking defects and solving countermeasures for Pythagorean fuzzy sets with hesitant degree. - Gang Sun; Xiaoping Li; Degang Chen 002 (Int. J. Mach. Learn. Cybern., 2022)

Covering rough set-based incremental feature selection for mixed decision system. - Yanyan Yang 001; Degang Chen 002; Xiao Zhang 012; Zhenyan Ji (Soft Comput., 2022)

Fuzzy Multioutput Transfer Learning for Regression. - Xiaoya Che; Hua Zuo; Jie Lu 001; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2022)

Fuzzy Rule-Based Classification Method for Incremental Rule Learning. - Jiaojiao Niu; Degang Chen 002; Jinhai Li; Hui Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Attribute reduction based on neighborhood constrained fuzzy rough sets. - Meng Hu; Yanting Guo; Degang Chen 002; Eric C. C. Tsang; Qingshuo Zhang (Knowl. Based Syst., 2023)

Learning Instance-Level Label Correlation Distribution for Multilabel Classification With Fuzzy Rough Sets. - Xiaoya Che; Degang Chen 002; Jusheng Mi (IEEE Trans. Fuzzy Syst., 2023)

Online rule fusion model based on formal concept analysis. - Xiaohe Zhang; Degang Chen 002; Jusheng Mi (Int. J. Mach. Learn. Cybern., 2023)

Incremental feature selection with fuzzy rough sets for dynamic data sets. - Lianjie Dong; Ruihong Wang; Degang Chen 002 (Fuzzy Sets Syst., 2023)

Fuzzy Decision Rule-Based Online Classification Algorithm in Fuzzy Formal Decision Contexts. - Xiaohe Zhang; Degang Chen 002; Jusheng Mi (IEEE Trans. Fuzzy Syst., 2023)

Multi-kernel learning for multi-label classification with local Rademacher complexity. - Zhenxin Wang; Degang Chen 002; Xiaoya Che (Inf. Sci., 2023)

A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy. - Yanyan Yang 001; Degang Chen 002; Zhenyan Ji; Xiao Zhang 012; Lianjie Dong (Fuzzy Sets Syst., 2024)

Single sample-oriented attribute reduction for rule learning with formal concept analysis. - Jiaojiao Niu; De-gang Chen 002; Wenyan Tie (Inf. Sci., 2024)

ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. - Xiaoxia Zhang; Shang Shi; Haichao Sun; Degang Chen 002; Guoyin Wang 001; Kesheng Wu (Neural Networks, 2024)

Optimal granularity selection based on algorithm stability with application to attribute reduction in rough set theory. - Yue Gao 016; Degang Chen 002; Hui Wang 001 (Inf. Sci., 2024)

Optimization Attribute Reduction With Fuzzy Rough Sets Based on Algorithm Stability. - Yue Gao 016; Degang Chen 002; Hui Wang 001; Ruifeng Shi (IEEE Trans. Fuzzy Syst., 2024)

Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory. - Xiaoya Che; Degang Chen 002; Jiang Deng; Jusheng Mi (Appl. Soft Comput., 2024)

The concept information of graph granule with application to knowledge graph embedding. - Jiaojiao Niu; Degang Chen 002; Yinglong Ma 001; Jinhai Li (Int. J. Mach. Learn. Cybern., 2024)

Toward Embedding Ambiguity-Sensitive Graph Neural Network Explainability. - Xiaofeng Liu; Yinglong Ma 001; Degang Chen 002; Ling Liu 001 (IEEE Trans. Fuzzy Syst., 2024)

MGO: A Multi-Granularity Optimization Algorithm Based on Granular-balls. - Bin Hou; Degang Chen 002; Guoyin Wang 001; Shuyin Xia (CEC, 2025)

A Multi-Granularity Fireworks Algorithm with Collaboration and Competition for Solving the Influence Maximization Problem. - Bin Hou; Guoyin Wang 001; Shuyin Xia; Degang Chen 002 (CEC, 2025)

Learning Operator-Valued Kernels From Multilabel Datesets With Fuzzy Rough Sets. - Zhenxin Wang; Degang Chen 002; Xiaoya Che (IEEE Trans. Fuzzy Syst., 2025)

On the Upper Bounds of Number of Linear Regions and Generalization Error of Deep Convolutional Neural Networks. - Degang Chen 002; Jiayu Liu; Xiaoya Che (IEEE Trans. Pattern Anal. Mach. Intell., 2025)