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ORCIDDegang Chen 0002
De-Gang Chen 0002 – De-gang Chen 0002
Person information
- affiliation: North China Electric Power University, Department of Mathematics and Physics, Beijing, China
- affiliation: Bohai University, Department of Mathematics, Jinzhou, China
- affiliation: Tsinghua University, Department of Automation, Beijing, China
- affiliation: Xi'an Jiaotong University, Faculty of Science, Xi'an, China
- affiliation (PhD 2000): Harbin Institute of Technology, Department of Mathematics, Harbin, China
- affiliation: Jinzhou Teacher's College, Department of Mathematics, Jinzhou, China
Other persons with the same name
- Degang Chen 0001
![[0000-0002-5938-6329]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5938-6329")
(aka: D. J. Chen 0001) — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA (and 1 more) - Degang Chen 0003 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Degang Chen 0004 — Xinjiang Normal University, College of Computer Science and Technology, Urumqi, China
- Degang Chen 0005 — Henan Normal University, College of Computer and Information Engineering, Xinxiang, China
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2020 – today
- 2024
[j133]Xiaoya Che, Degang Chen, Jiang Deng, Jusheng Mi:
Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory. Appl. Soft Comput. 149(Part A): 110950 (2024)- [j132]Yanyan Yang, Degang Chen, Zhenyan Ji, Xiao Zhang, Lianjie Dong:
A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy. Fuzzy Sets Syst. 483: 108916 (2024) - [j131]Yue Gao, Degang Chen, Hui Wang:
Optimal granularity selection based on algorithm stability with application to attribute reduction in rough set theory. Inf. Sci. 654: 119845 (2024) - [j130]Jiaojiao Niu, De-gang Chen, Wenyan Tie:
Single sample-oriented attribute reduction for rule learning with formal concept analysis. Inf. Sci. 681: 121243 (2024) - [j129]Jiaojiao Niu, Degang Chen, Yinglong Ma, Jinhai Li:
The concept information of graph granule with application to knowledge graph embedding. Int. J. Mach. Learn. Cybern. 15(12): 5595-5606 (2024) - [j128]Xiaoxia Zhang, Shang Shi, Haichao Sun, Degang Chen, Guoyin Wang, Kesheng Wu:
ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. Neural Networks 171: 383-395 (2024) - [j127]Yue Gao, Degang Chen, Hui Wang, Ruifeng Shi:
Optimization Attribute Reduction With Fuzzy Rough Sets Based on Algorithm Stability. IEEE Trans. Fuzzy Syst. 32(4): 2052-2062 (2024) - [j126]Xiaofeng Liu, Yinglong Ma, Degang Chen, Ling Liu:
Toward Embedding Ambiguity-Sensitive Graph Neural Network Explainability. IEEE Trans. Fuzzy Syst. 32(12): 6951-6964 (2024) - 2023
- [j125]Lianjie Dong, Ruihong Wang, Degang Chen:
Incremental feature selection with fuzzy rough sets for dynamic data sets. Fuzzy Sets Syst. 467: 108503 (2023) - [j124]Zhenxin Wang, Degang Chen, Xiaoya Che:
Multi-kernel learning for multi-label classification with local Rademacher complexity. Inf. Sci. 647: 119462 (2023) - [j123]Meng Hu, Yanting Guo, Degang Chen, Eric C. C. Tsang, Qingshuo Zhang:
Attribute reduction based on neighborhood constrained fuzzy rough sets. Knowl. Based Syst. 274: 110632 (2023) - [j122]Xiaohe Zhang, Degang Chen, Jusheng Mi:
Online rule fusion model based on formal concept analysis. Int. J. Mach. Learn. Cybern. 14(7): 2483-2497 (2023) - [j121]Xiaoya Che, Degang Chen, Jusheng Mi:
Learning Instance-Level Label Correlation Distribution for Multilabel Classification With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 31(8): 2871-2884 (2023) - [j120]Xiaohe Zhang, Degang Chen, Jusheng Mi:
Fuzzy Decision Rule-Based Online Classification Algorithm in Fuzzy Formal Decision Contexts. IEEE Trans. Fuzzy Syst. 31(9): 3263-3277 (2023) - 2022
- [j119]Yanyan Yang, Degang Chen, Xiao Zhang, Zhenyan Ji, Yingjun Zhang:
Incremental feature selection by sample selection and feature-based accelerator. Appl. Soft Comput. 121: 108800 (2022) - [j118]Xiaoya Che, Degang Chen, Jusheng Mi:
Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets. Fuzzy Sets Syst. 426: 121-144 (2022) - [j117]Meng Hu, Eric C. C. Tsang, Yanting Guo, Degang Chen, Weihua Xu:
Attribute reduction based on overlap degree and k-nearest-neighbor rough sets in decision information systems. Inf. Sci. 584: 301-324 (2022) - [j116]Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang:
A dynamic rule-based classification model via granular computing. Inf. Sci. 584: 325-341 (2022) - [j115]Qinghua Hu, Jusheng Mi, Degang Chen:
Granular computing based machine learning in the era of big data. Inf. Sci. 591: 422-423 (2022) - [j114]Xiaoxia Zhang, Degang Chen, Hong Yu, Guoyin Wang, Houjun Tang, Kesheng Wu:
Improving nonnegative matrix factorization with advanced graph regularization. Inf. Sci. 597: 125-143 (2022) - [j113]Yanting Guo, Meng Hu, Xizhao Wang, Eric C. C. Tsang, Degang Chen, Weihua Xu:
A robust approach to attribute reduction based on double fuzzy consistency measure. Knowl. Based Syst. 253: 109585 (2022) - [j112]Meng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang, Degang Chen, Weihua Xu:
A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint. Int. J. Mach. Learn. Cybern. 13(4): 1049-1064 (2022) - [j111]Gang Sun, Xiaoping Li, Degang Chen:
Ranking defects and solving countermeasures for Pythagorean fuzzy sets with hesitant degree. Int. J. Mach. Learn. Cybern. 13(5): 1265-1281 (2022) - [j110]Jiaojiao Niu, Degang Chen:
Incremental calculation approaches for granular reduct in formal context with attribute updating. Int. J. Mach. Learn. Cybern. 13(9): 2763-2784 (2022) - [j109]Yanyan Yang, Degang Chen, Xiao Zhang, Zhenyan Ji:
Covering rough set-based incremental feature selection for mixed decision system. Soft Comput. 26(6): 2651-2669 (2022) - [j108]Xiaoya Che, Hua Zuo, Jie Lu, Degang Chen:
Fuzzy Multioutput Transfer Learning for Regression. IEEE Trans. Fuzzy Syst. 30(7): 2438-2451 (2022) - [j107]Jiaojiao Niu, Degang Chen, Jinhai Li, Hui Wang:
Fuzzy Rule-Based Classification Method for Incremental Rule Learning. IEEE Trans. Fuzzy Syst. 30(9): 3748-3761 (2022) - 2021
- [j106]Haibo Jiang, Jianming Zhan, Degang Chen:
PROMETHEE II method based on variable precision fuzzy rough sets with fuzzy neighborhoods. Artif. Intell. Rev. 54(2): 1281-1319 (2021) - [j105]Deli Zhang, Caimei Guo, Degang Chen, Guijun Wang:
Jensen's inequalities for set-valued and fuzzy set-valued functions. Fuzzy Sets Syst. 404: 178-204 (2021) - [j104]Meng Hu, Eric C. C. Tsang, Yanting Guo, Degang Chen, Weihua Xu:
A novel approach to attribute reduction based on weighted neighborhood rough sets. Knowl. Based Syst. 220: 106908 (2021) - [j103]Xiaoya Che, Degang Chen, Jusheng Mi:
Feature distribution-based label correlation in multi-label classification. Int. J. Mach. Learn. Cybern. 12(6): 1705-1719 (2021) - [j102]Haibo Jiang, Jianming Zhan, Degang Chen:
Covering-based variable precision L-fuzzy rough sets based on residuated lattices and corresponding applications. Int. J. Mach. Learn. Cybern. 12(8): 2407-2429 (2021) - [j101]Deli Zhang, Caimei Guo, Degang Chen, Guijun Wang:
Choquet integral Jensen's inequalities for set-valued and fuzzy set-valued functions. Soft Comput. 25(2): 903-918 (2021) - [c32]Qingshuo Zhang, Eric C. C. Tsang, Meng Hu, Qiang He, Degang Chen:
Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. ICMLC 2021: 1-6 - 2020
- [j100]Xiaoya Che, Degang Chen, Ju-Sheng Mi:
A novel approach for learning label correlation with application to feature selection of multi-label data. Inf. Sci. 512: 795-812 (2020) - [j99]Lianjie Dong, Degang Chen, Ning-Ling Wang, Zhanhui Lu:
Key energy-consumption feature selection of thermal power systems based on robust attribute reduction with rough sets. Inf. Sci. 532: 61-71 (2020) - [j98]Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen:
Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets. Knowl. Based Syst. 187 (2020) - [j97]Yanting Guo, Eric C. C. Tsang, Meng Hu, Xuxin Lin, Degang Chen, Weihua Xu, Binbin Sang:
Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects. Knowl. Based Syst. 189 (2020) - [j96]Yanyan Yang, Shiji Song, Degang Chen, Xiao Zhang:
Discernible neighborhood counting based incremental feature selection for heterogeneous data. Int. J. Mach. Learn. Cybern. 11(5): 1115-1127 (2020) - [j95]Lianjie Dong, Degang Chen:
Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes. Int. J. Mach. Learn. Cybern. 11(6): 1339-1355 (2020) - [j94]Degang Chen, Lianjie Dong, Ju-Sheng Mi:
Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute. Soft Comput. 24(1): 321-332 (2020) - [j93]Eric C. C. Tsang, Bingjiao Fan, Degang Chen, Weihua Xu, Wentao Li:
Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features. Soft Comput. 24(5): 3753-3770 (2020) - [j92]Changzhong Wang, Yang Huang, Mingwen Shao, Qinghua Hu, Degang Chen:
Feature Selection Based on Neighborhood Self-Information. IEEE Trans. Cybern. 50(9): 4031-4042 (2020) - [j91]Changzhong Wang, Yan Wang, Mingwen Shao, Yuhua Qian, Degang Chen:
Fuzzy Rough Attribute Reduction for Categorical Data. IEEE Trans. Fuzzy Syst. 28(5): 818-830 (2020) - [j90]Xiao Zhang, Changlin Mei, Degang Chen, Yanyan Yang, Jinhai Li:
Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy. IEEE Trans. Fuzzy Syst. 28(5): 901-915 (2020) - [c31]Meng Hu, Eric C. C. Tsang, Yanting Guo, Weihua Xu, Degang Chen:
A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set. ICMLC 2020: 279-284
2010 – 2019
- 2019
- [j89]Changzhong Wang, Yang Huang, Mingwen Shao, Degang Chen:
Uncertainty measures for general fuzzy relations. Fuzzy Sets Syst. 360: 82-96 (2019) - [j88]Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen:
Local logical disjunction double-quantitative rough sets. Inf. Sci. 500: 87-112 (2019) - [j87]Xiaoxia Zhang, Degang Chen, Kesheng Wu:
Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion. Int. J. Mach. Learn. Cybern. 10(6): 1259-1268 (2019) - [j86]Eric C. C. Tsang, Jingjing Song, Degang Chen, Xibei Yang:
Order based hierarchies on hesitant fuzzy approximation space. Int. J. Mach. Learn. Cybern. 10(6): 1407-1422 (2019) - [j85]Bingjiao Fan, Eric C. C. Tsang, Weihua Xu, Degang Chen, Wentao Li:
Attribute-oriented cognitive concept learning strategy: a multi-level method. Int. J. Mach. Learn. Cybern. 10(9): 2421-2437 (2019) - [j84]Shengyang Zhuang, Degang Chen:
A novel algorithm for the vertex cover problem based on minimal elements of discernibility matrix. Int. J. Mach. Learn. Cybern. 10(12): 3467-3474 (2019) - [j83]Linlin Chen, Degang Chen, Hui Wang:
Alignment Based Kernel Selection for Multi-Label Learning. Neural Process. Lett. 49(3): 1157-1177 (2019) - [j82]Linlin Chen, Degang Chen:
Alignment Based Feature Selection for Multi-label Learning. Neural Process. Lett. 50(3): 2323-2344 (2019) - [j81]Linlin Chen, Degang Chen, Hui Wang:
Fuzzy Kernel Alignment With Application to Attribute Reduction of Heterogeneous Data. IEEE Trans. Fuzzy Syst. 27(7): 1469-1478 (2019) - [j80]Haibo Jiang, Jianming Zhan, Degang Chen:
Covering-Based Variable Precision $(\mathcal {I}, \mathcal {T})$-Fuzzy Rough Sets With Applications to Multiattribute Decision-Making. IEEE Trans. Fuzzy Syst. 27(8): 1558-1572 (2019) - 2018
- [j79]Degang Chen, Xiaoxia Zhang, Xizhao Wang, Yanjun Liu:
Uncertainty learning of rough set-based prediction under a holistic framework. Inf. Sci. 463-464: 129-151 (2018) - [j78]Xiaoya Che, Ju-Sheng Mi, Degang Chen:
Information fusion and numerical characterization of a multi-source information system. Knowl. Based Syst. 145: 121-133 (2018) - [j77]Xiao Zhang, Changlin Mei, Degang Chen, Yanyan Yang:
A fuzzy rough set-based feature selection method using representative instances. Knowl. Based Syst. 151: 216-229 (2018) - [j76]Yanyan Yang, Degang Chen, Hui Wang, Xizhao Wang:
Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 26(3): 1257-1273 (2018) - [j75]Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen, Yuhua Qian, Zhe Dong:
Feature Selection Based on Neighborhood Discrimination Index. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2986-2999 (2018) - [c30]Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen:
Logical Disjunction Double-Quantitative Fuzzy Rough Sets. ICMLC 2018: 415-421 - 2017
- [j74]Yanyan Yang, Degang Chen, Hui Wang, Eric C. C. Tsang, Deli Zhang:
Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving. Fuzzy Sets Syst. 312: 66-86 (2017) - [j73]Xiaoxia Zhang, Degang Chen, Eric C. C. Tsang:
Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems. Inf. Sci. 378: 1-25 (2017) - [j72]Qinghua Hu, Ju-Sheng Mi, Degang Chen:
Granular Computing Based Machine Learning in the Era of Big Data. Inf. Sci. 378: 242-243 (2017) - [j71]Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang:
Minimal decision cost reduct in fuzzy decision-theoretic rough set model. Knowl. Based Syst. 126: 104-112 (2017) - [j70]Rana Aamir Raza Ashfaq, Yu-Lin He, De-gang Chen:
Toward an efficient fuzziness based instance selection methodology for intrusion detection system. Int. J. Mach. Learn. Cybern. 8(6): 1767-1776 (2017) - [j69]Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin:
A Fitting Model for Feature Selection With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 25(4): 741-753 (2017) - [j68]Yanyan Yang, Degang Chen, Hui Wang:
Active Sample Selection Based Incremental Algorithm for Attribute Reduction With Rough Sets. IEEE Trans. Fuzzy Syst. 25(4): 825-838 (2017) - 2016
- [j67]Degang Chen, Yanyan Yang, Ze Dong:
An incremental algorithm for attribute reduction with variable precision rough sets. Appl. Soft Comput. 45: 129-149 (2016) - [j66]Eric C. C. Tsang, Qinghua Hu, Degang Chen:
Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int. J. Mach. Learn. Cybern. 7(1): 1-11 (2016) - [j65]Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy. Pattern Recognit. 56: 1-15 (2016) - [c29]Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang:
Minimum decision cost reduct for fuzzy decision-theoretic rough set model. ICMLC 2016: 213-218 - 2015
- [j64]Degang Chen, Xiaoxia Zhang, Wanlu Li:
On measurements of covering rough sets based on granules and evidence theory. Inf. Sci. 317: 329-348 (2015) - [j63]Yundong Gu, Yajing An, Degang Chen, Sujie Zhang:
Pricing electric power options by maximizing the utility of investment wealth with fuzzy measures. Int. J. Mach. Learn. Cybern. 6(3): 409-415 (2015) - [c28]De-Liang Ma, De-Gang Chen, Xiao-Xia Zhang:
Parameterized reduction of covering decision systems. ICMLC 2015: 20-24 - [c27]Xiao Zhang, Changlin Mei, Degang Chen:
Granular structures of fuzzy rough sets based on general fuzzy relations. ICMLC 2015: 832-837 - [c26]Yanyan Yang, Degang Chen, Ze Dong:
Novel Multi-output Support Vector Regression Model via Double Regularization. SMC 2015: 2697-2701 - 2014
- [j62]Degang Chen, Deli Zhang:
Structure of feature spaces related to fuzzy similarity relations as kernels. Fuzzy Sets Syst. 237: 90-95 (2014) - [j61]Changzhong Wang, Degang Chen, Qinghua Hu:
Fuzzy information systems and their homomorphisms. Fuzzy Sets Syst. 249: 128-138 (2014) - [j60]Degang Chen, Wanlu Li, Xiao Zhang, Sam Kwong:
Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets. Int. J. Approx. Reason. 55(3): 908-923 (2014) - [j59]Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems. Int. J. Approx. Reason. 55(8): 1787-1804 (2014) - [j58]Yanyan Yang, Degang Chen, Ze Dong:
Novel algorithms of attribute reduction with variable precision rough set model. Neurocomputing 139: 336-344 (2014) - [j57]Changzhong Wang, Qiang He, Degang Chen, Qinghua Hu:
A novel method for attribute reduction of covering decision systems. Inf. Sci. 254: 181-196 (2014) - [j56]Bingzhen Sun, Weimin Ma, Degang Chen:
Rough approximation of a fuzzy concept on a hybrid attribute information system and its uncertainty measure. Inf. Sci. 284: 60-80 (2014) - [j55]Degang Chen, Yanyan Yang:
Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models. IEEE Trans. Fuzzy Syst. 22(5): 1325-1334 (2014) - [j54]Ran Wang, Degang Chen, Sam Kwong:
Fuzzy-Rough-Set-Based Active Learning. IEEE Trans. Fuzzy Syst. 22(6): 1699-1704 (2014) - [c25]Xiaoxia Zhang, Degang Chen:
Generalized Dominance-Based Rough Set Model for the Dominance Intuitionistic Fuzzy Information Systems. RSKT 2014: 3-14 - 2013
- [j53]Changzhong Wang, Degang Chen, Qiang He, Qinghua Hu:
A Comparative Study of Ordered and Covering Information Systems. Fundam. Informaticae 123(3): 351-363 (2013) - [j52]Ran Wang, Sam Kwong, Degang Chen, Jingjing Cao:
A vector-valued support vector machine model for multiclass problem. Inf. Sci. 235: 174-194 (2013) - [j51]Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang:
Nested structure in parameterized rough reduction. Inf. Sci. 248: 130-150 (2013) - [j50]Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization. Knowl. Based Syst. 50: 187-197 (2013) - [j49]Changzhong Wang, Degang Chen, Qinghua Hu:
On rough approximations of groups. Int. J. Mach. Learn. Cybern. 4(5): 445-449 (2013) - [j48]Eric C. C. Tsang, Changzhong Wang, Degang Chen, Congxin Wu, Qinghua Hu:
Communication Between Information Systems Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 21(3): 527-540 (2013) - [c24]Min Zhang, Degang Chen, Yanyan Yang:
A new algorithm of attribute reduction based on fuzzy clustering. ICMLC 2013: 155-158 - 2012
- [j47]Degang Chen, Sam Kwong, Qiang He, Hui Wang:
Geometrical interpretation and applications of membership functions with fuzzy rough sets. Fuzzy Sets Syst. 193: 122-135 (2012) - [j46]Changzhong Wang, Degang Chen, Baiqing Sun, Qinghua Hu:
Communication between information systems with covering based rough sets. Inf. Sci. 216: 17-33 (2012) - [j45]Degang Chen, Yanyan Yang, Xiao Zhang:
Parameterized Local Reduction of Decision Systems. J. Appl. Math. 2012: 857590:1-857590:14 (2012) - [j44]Ran Wang, Sam Kwong, Degang Chen:
Inconsistency-based active learning for support vector machines. Pattern Recognit. 45(10): 3751-3767 (2012) - [j43]Degang Chen, Lei Zhang, Suyun Zhao, Qinghua Hu, Pengfei Zhu:
A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 20(2): 385-389 (2012) - [j42]Degang Chen, Suyun Zhao, Lei Zhang, Yongping Yang, Xiao Zhang:
Sample Pair Selection for Attribute Reduction with Rough Set. IEEE Trans. Knowl. Data Eng. 24(11): 2080-2093 (2012) - [c23]Yanyan Yang, Degang Chen:
Improved Algorithm and Further Research of β -reduct for variable precision rough set. GrC 2012: 783-786 - [c22]Eric C. C. Tsang, Chen-Xia Jin, Degang Chen, Fa-Chao Li:
An attribute reduction method based on core samples set. ICMLC 2012: 200-205 - [c21]Wan-Lv Li, Degang Chen, Yanyan Yang:
A new method of attribute reduction for covering rough sets. ICMLC 2012: 277-281 - [c20]Ran Wang, Sam Kwong, Degang Chen, Qiang He:
Fuzzy rough sets based uncertainty measuring for stream based active learning. ICMLC 2012: 282-288 - [c19]Ning-Ling Wang, Ting Zhang, Yongping Yang, Degang Chen:
SVR-GA-Based adaptive power coal rate modeling and optimization for large coal-fired power units. ICMLC 2012: 477-482 - [c18]Ning-Ling Wang, Degang Chen, Yongping Yang, Ting Zhang:
FRS-based decision table reduction for the operation optimization of large coal-fired power units. ICMLC 2012: 1007-1013 - 2011
- [j41]Xuelin Yong, Yongping Yang, Degang Chen:
Soliton fission and fusion of a new two-component Korteweg-de Vries (KdV) equation. Comput. Math. Appl. 62(4): 1765-1771 (2011) - [j40]Yong Du, Qinghua Hu, Degang Chen, Peijun Ma:
Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring. Fundam. Informaticae 111(1): 65-79 (2011) - [j39]Changzhong Wang, Degang Chen, Chong Wu, Qinghua Hu:
Data compression with homomorphism in covering information systems. Int. J. Approx. Reason. 52(4): 519-525 (2011) - [j38]Degang Chen, Qinghua Hu, Yongping Yang:
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets. Inf. Sci. 181(23): 5169-5179 (2011) - [j37]Qiang He, Congxin Wu, Degang Chen, Suyun Zhao:
Fuzzy rough set based attribute reduction for information systems with fuzzy decisions. Knowl. Based Syst. 24(5): 689-696 (2011) - [j36]Degang Chen, Yongping Yang, Hui Wang:
Granular computing based on fuzzy similarity relations. Soft Comput. 15(6): 1161-1172 (2011) - [j35]Qinghua Hu, Daren Yu, Witold Pedrycz, Degang Chen:
Kernelized Fuzzy Rough Sets and Their Applications. IEEE Trans. Knowl. Data Eng. 23(11): 1649-1667 (2011) - [c17]Yanyan Yang, Degang Chen, Sam Kwong:
Novel algorithms of attribute reduction for variable precision rough set. ICMLC 2011: 108-112 - [c16]Ran Wang, Sam Kwong, Degang Chen:
A new method for multi-class support vector machines by training least number of classifiers. ICMLC 2011: 648-653 - 2010
- [j34]Changzhong Wang, Degang Chen, Qinghua Hu:
Some invariant properties of ordered information systems under homomorphism. Sci. China Inf. Sci. 53(9): 1816-1825 (2010) - [j33]Changzhong Wang, Degang Chen:
A short note on some properties of rough groups. Comput. Math. Appl. 59(1): 431-436 (2010) - [j32]Degang Chen, Qiang He, Xizhao Wang:
FRSVMs: Fuzzy rough set based support vector machines. Fuzzy Sets Syst. 161(4): 596-607 (2010) - [j31]Degang Chen, Suyun Zhao:
Local reduction of decision system with fuzzy rough sets. Fuzzy Sets Syst. 161(13): 1871-1883 (2010) - [j30]Qinghua Hu, Lei Zhang, Degang Chen, Witold Pedrycz, Daren Yu:
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. Int. J. Approx. Reason. 51(4): 453-471 (2010) - [j29]Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang:
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. IEEE Trans. Knowl. Data Eng. 22(5): 624-638 (2010) - [c15]Degang Chen, Xiao Zhang, Eric C. C. Tsang, Yongping Yang:
Sample selection with rough set. ICMLC 2010: 291-295 - [c14]Eric C. C. Tsang, Degang Chen:
On the fuzzy generalization of the Dempster-Shafer theory of evidence. ICMLC 2010: 587-591 - [c13]Yongping Yang, Ning-Ling Wang, Zhi-Wei Zhang, Degang Chen:
Data mining-based modeling and application in the energy-saving analysis of large coal-fired power units. ICMLC 2010: 1095-1100 - [c12]Zhi-Wei Zhang, Degang Chen, Qiang He, Hui Wang:
Least squares support vector machines based on fuzzy rough set. SMC 2010: 3834-3838
2000 – 2009
- 2009
- [j28]Changzhong Wang, Degang Chen, Liangkuan Zhu:
Homomorphisms between fuzzy information systems. Appl. Math. Lett. 22(7): 1045-1050 (2009) - [j27]Suyun Zhao, Eric C. C. Tsang, Degang Chen:
The Model of Fuzzy Variable Precision Rough Sets. IEEE Trans. Fuzzy Syst. 17(2): 451-467 (2009) - [c11]Qinghua Hu, Degang Chen, Daren Yu, Witold Pedrycz:
Kernelized Fuzzy Rough Sets. RSKT 2009: 304-311 - 2008
- [j26]Changzhong Wang, Congxin Wu, Degang Chen, Wenju Du:
Some properties of relation information systems under homomorphisms. Appl. Math. Lett. 21(9): 940-945 (2008) - [j25]Degang Chen, Xiaoping Xue, Liangkuan Zhu:
On the integrable noncompact fuzzy number space. Appl. Math. Lett. 21(12): 1260-1266 (2008) - [j24]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung:
Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. 56(1): 279-289 (2008) - [j23]Zengtai Gong, Bingzhen Sun, Degang Chen:
Rough set theory for the interval-valued fuzzy information systems. Inf. Sci. 178(8): 1968-1985 (2008) - [j22]Changzhong Wang, Congxin Wu, Degang Chen:
A systematic study on attribute reduction with rough sets based on general binary relations. Inf. Sci. 178(9): 2237-2261 (2008) - [j21]Bingzhen Sun, Zengtai Gong, Degang Chen:
Fuzzy rough set theory for the interval-valued fuzzy information systems. Inf. Sci. 178(13): 2794-2815 (2008) - [j20]Daniel S. Yeung, Xizhao Wang, Degang Chen:
Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008) - [j19]Degang Chen, Wenxia Yang, Fachao Li:
Measures of general fuzzy rough sets on a probabilistic space. Inf. Sci. 178(16): 3177-3187 (2008) - [j18]Changzhong Wang, Congxin Wu, Degang Chen, Qinghua Hu, Chong Wu:
Communicating between information systems. Inf. Sci. 178(16): 3228-3239 (2008) - [j17]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee:
Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 16(5): 1130-1141 (2008) - 2007
- [j16]Degang Chen, Qiang He, Xizhao Wang:
On linear separability of data sets in feature space. Neurocomputing 70(13-15): 2441-2448 (2007) - [j15]Degang Chen, Changzhong Wang, Qinghua Hu:
A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Inf. Sci. 177(17): 3500-3518 (2007) - [j14]Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung:
Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. 177(20): 4493-4514 (2007) - [c10]Degang Chen, Xizhao Wang, Suyun Zhao:
Attribute Reduction Based on Fuzzy Rough Sets. RSEISP 2007: 381-390 - [c9]Changzhong Wang, Congxin Wu, Degang Chen:
Homomorphisms Between Relation Information Systems. RSKT 2007: 68-75 - [c8]Degang Chen, Eric C. C. Tsang, Suyun Zhao:
An approach of attributes reduction based on fuzzy TL rough sets. SMC 2007: 486-491 - 2006
- [j13]Min Liu, Degang Chen, Cheng Wu, Hongxing Li:
Approximation theorem of the fuzzy transform in fuzzy reasoning and its application to the scheduling problem. Comput. Math. Appl. 51(3-4): 515-526 (2006) - [j12]Min Liu, Degang Chen, Cheng Wu, Hongxing Li:
Fuzzy reasoning based on a new fuzzy rough set and its application to scheduling problems. Comput. Math. Appl. 51(9-10): 1507-1518 (2006) - [j11]Min Liu, Degang Chen, Cheng Wu, Hongxing Li:
Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems. Comput. Math. Appl. 51(9-10): 1571-1584 (2006) - [j10]Degang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang:
Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf. Sci. 176(13): 1829-1848 (2006) - [c7]Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He:
A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. SMC 2006: 3436-3440 - 2005
- [j9]Degang Chen, Jiashang Jiang, Congxin Wu, Eric C. C. Tsang:
Some notes on equivalent fuzzy sets and fuzzy subgroups. Fuzzy Sets Syst. 152(2): 403-409 (2005) - [j8]Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung:
A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68: 225-238 (2005) - [j7]Jiashang Jiang, Congxin Wu, Degang Chen:
The product structure of fuzzy rough sets on a group and the rough T-fuzzy group. Inf. Sci. 175(1-2): 97-107 (2005) - [j6]Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang:
On the generalization of fuzzy rough sets. IEEE Trans. Fuzzy Syst. 13(3): 343-361 (2005) - [c6]Degang Chen, Qiang He, Xizhao Wang:
The Infinite Polynomial Kernel for Support Vector Machine. ADMA 2005: 267-275 - [c5]Degang Chen, Eric C. C. Tsang:
On the Local Reduction of Information System. ICMLC 2005: 588-594 - [c4]Degang Chen, Qiang He, Chunru Dong, Xizhao Wang:
A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. ICMLC 2005: 918-929 - [c3]Gloria C. Y. Tsang, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung:
On attributes reduction with fuzzy rough sets. SMC 2005: 2775-2780 - 2004
- [c2]Degang Chen:
The Part Reductions in Information Systems. Rough Sets and Current Trends in Computing 2004: 477-482 - 2002
- [c1]Degang Chen, Wen-Xiu Zhang:
The Lower and Upper Approximations of Fuzzy Sets in a Fuzzy Group. AFSS 2002: 502-508
1990 – 1999
- 1999
- [j5]De-Gang Chen:
The expressional theorem of a fuzzy unit interval and its application. Fuzzy Sets Syst. 107(2): 237-240 (1999) - 1998
- [j4]De-Gang Chen, Su-Yun Li:
Fuzzy factor rings. Fuzzy Sets Syst. 94(1): 125-127 (1998) - [j3]De-Gang Chen:
Properties of the T-fuzzy factor groups. Fuzzy Sets Syst. 99(2): 187-192 (1998) - 1996
- [j2]Su-Yun Li, De-Gang Chen, Wen-Xiang Gu, Hui Wang:
Fuzzy homomorphisms. Fuzzy Sets Syst. 79(2): 235-238 (1996) - [j1]De-Gang Chen, Wen-Xiang Gu:
Generating fuzzy factor groups and the fundamental theorem of isomorphism. Fuzzy Sets Syst. 82(3): 357-360 (1996)
Coauthor Index
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