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Gu, PP; Liu, JB; Zhou, XZ. 2021. Approaches to Three-Way Decisions Based on the Evaluation of Probabilistic Linguistic Terms Sets[J].SYMMETRY-BASEL, 2021,13(5),764.DOI:10.3390/sym13050764
Sun, YX; Yuan,B; Zhang, T; Tang, BJ; Zheng, WW; Zhou, XZ. 2020. Research and Implementation of IntelligentDecision Based on a Priori Knowledge and DQN Algorithms in Wargame Environment [J]. Electronics. 2020, 9(10),1668. DOI:10.3390/electronics9101668
Zhu, XJ; Zhu, HB; Liu, DN; Zhou, XZ. 2020. Criteria Making in Role Negotiation[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(10):3731-3740. DOI:DOI:10.1109/TSMC.2018.2868307
Zhang, C; Li, HX; Chen, CL; Qian, YH; Zhou, XZ.2020. Enhanced Group Sparse Regularized NonconvexRegression for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, Doi: 10.1109/TPAMI.2020.3033994.
Zhang, C; Li, HX; Qian, YH; Chen, CL; Zhou, XZ. 2020. Locality-ConstrainedDiscriminative Matrix Regression for Robust Face Identification.IEEE Transactions on Neural Networks and Learning Systems, Doi:10.1109/TNNLS.2020.3041636,2020.
Wang, TX; Li, HX; Zhou, XZ; Huang, B;Zhu, HB. 2020. A prospect theory-basedthree-way decision model [J]. Knowledge-Based Syst. 2020, 203: 106129. DOI: 10.1016/j.knosys.2020.106129
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Wang, TX; Li, HX; Qian YH、Huang, B; Zhou, XZ. 2020 .A regret-basedthree-way decision model under interval type-2 fuzzy environment [J]. IEEE Transactions on Fuzzy Systems，2020, DOI:10.1109/TFUZZ.2020.3033448.
Dai, D; Li, HX; Jia, XY; Zhou, XZ; Huang, B; Liang, SN. 2020. A co-training approach for sequential three-way decisions [J]. Int. J. Mach. Learn. Cybern. 2020, 11(5): 11(5):1129-1139. DOI: 10.1007/s13042-020-01086-7
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Huang, B; Wu, WZ; Yan, JJ; Li, HX; Zhou, XZ. 2020. Inclusion measure-based multi-granulationdecision-theoretic rough sets in multi-scale intuitionistic fuzzy informationtables [J]. Information Sciences, 2020, 507: 421-448. DOI:10.1016/j.ins.2018.08.061
Zhang, LB; Li, HX; Zhou, XZ; Huang, B. 2020. Sequential three-way decision based on multi-granular auto-encoderfeatures [J]. Information Sciences, 2020, 507:630-643, DOI:10.1016/j.ins.2019.03.061
孙宇祥; 周献中; 唐博建. 2020. 基于知识的海战场态势评估辅助决策系统构建[J]. 指挥信息系统与技术，2020,11(4):15-20
杨洁; 朱咸军; 周献中; 柳毅. 2020. 基于混杂社会网络的个性化Web服务推荐方法[J].电子学报, 2020,48(2):341-349
顾萍萍;周献中. 2020. 基于概率语言术语集评价的三支决策方法研究[J]. 南京大学学报（自然科学版）, 2020, 56(4):505-514
彭莉莎; 郑华利; 周献中. 2020. 面向网络信息体系的人与多机制整合指挥控制模型[J]. 指挥与控制学报,2020,6(3):229-244
孙宇祥;唐博建;徐爽;周献中. 2020. 智能指挥与控制系统发展路径与未来展望[J]. 火力与指挥控制. 2020,第45卷第11期.
孙宇祥;梅海强;周献中. 2020. AlphaStar重要机理分析及对智能化作战推演的启示[C]. 2020年第二届体系工程学术会议, 北京.
于佳慧;孙宇祥;郑婉文;周献中. 2020. SmartFactory Production and Operation Management Methods based on HCPS[C]. 2020 IEEEInternational Conferenceon Networking, Sensing and Control, Nanjing.
戴迪;郑婉文;孙宇祥;周献中. 2020. AVariable Granularity Optimization Approach for Task Decomposition[C]. 2020 IEEEInternational Conference on Networking, Sensing and Control, Nanjing.（大会优秀学生论文）
戴迪;孙宇祥;周献中. 2020. 面向多维作战的效能评估模型研究[C]. 2020年第二届体系工程学术会议，北海.
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Ju Hengrong,Pedrycz Witold, Li Huaxiong, Ding Weiping, Yang Xibei, ZhouXianzhong. 2019. Sequential three-way classifier withjustifiable granularity[J].Knowledge-Based Systems, 163:103–119. https://doi.org/10.1016/j.knosys. 2018.08.022
Liu, JB; Li, HX; Huang, B; Zhou, XZ; Zhang, LB. 2019. Similarity-divergenceintuitionistic fuzzy decision using particle swarm optimization [J]. Appl. Soft. Comput. 2019,81:105479. DOI:10.1016/j.asoc.2019.05.006
Liu, JB; Li, HX; Zhou, XZ; Huang, B; Wang, TX. 2019. An optimization-based formulation for three-waydecisions [J]. Information Sciences, 2019, 495:185-214. DOI:10.1016/j.ins.2019.05.010
Huang, B; Li, HX; Feng, GF; Zhou, XZ. 2019. Dominance-based rough sets in multi-scaleintuitionistic fuzzy decision tables [J]. Appl. Math. Comput., 2019, 348:487-512. DOI:10.1016/j.amc.2018.12.018
Li, DP; Zhang, LB; Hu, WT; Li, HX; Zhou, XZ. 2019. DwellTime Adaptive Three-Way Text Entry by Gaze[C]. PROCEEDINGSOF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 5295-5300
Bai, YC; Zhang, LB; Wang, TX; Zhou, XZ. 2019. A Skeleton Object Detection-Based Dynamic GestureRecognition Method [C]. PROCEEDINGS OFTHE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019), 212-217
Zhang, SW; Liu, X; Yu, JH; Zhang, LB; Zhou, XZ. 2019. Research on Multi-modalInteractive Control for Quadrotor UAV [C]. PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONALCONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019), 329-334
王友发;罗建强;周献中. 2019. 基于专利地图的人工智能研究总体格局、技术热点与未来趋势[J]. 中国科技论坛, 2019, 10: 80-89,127
刘久兵;王天行;周献中;黄兵;李华雄. 2019. 基于勾股模糊集评价的三支决策方法[J]. 模式识别与人工智能, 2019, 32(12):1080-1092
刘久兵;周献中;李华雄;黄兵;顾萍萍. 2020. 基于直觉模糊相似度的直觉模糊三支决策方法[J]. 系统工程理论与实践, 2019, 39(6):1550-1564
于佳慧;刘昕;张殊伟;郑婉文;周献中. 2019. Design and Realization of Eye Control System for Small Ground UnmannedPlatform[C]. 2019 Chinese Automation Congress (CAC), 2019年11月.（大会优秀学生论文）
徐成成；白云超；周献中. 2019. 基于近似字符串分类的动态手势识别方法研究[C]. 2019中国系统仿真与虚拟现实技术高层论坛论文集.
Wu Qilin, Zhou Xianzhong, Cao Qian, Fang Huan. 2018.Multihop capabilityanalysis in wireless information and power transfer multi-relay cooperativenetworks[J]. Wireless Communications and Mobile Computing, Volume 2018, ArticleID 1857015, 12 pages https://doi.org/10.1155/2018/1857015
Zhu Haibin, Sheng Yin, Zhou Xianzhong, Zhu Yu. 2018. Group Role Assignmentwith Cooperation and Conflict Factors[J]. IEEE Transactions on Systems, Man,and Cybernetics: Systems, v 48, n 6, p 851-863.
刘久兵,张里博,周献中,黄兵,李华雄.2018. 觉模糊信息系统下的三支决策模型[J]. 小型微型计算机系统, 39(6):1281-1285
刘久兵,顾萍萍,周献中,黄兵,李华雄. 2018.基于优化模型的直觉模糊三支群决策方法[J]. 南京大学学报（自然科学）,54(5):944-957(DOI：10.13232/j.cnki.jnju.2018.05.010)
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Zhang Libo, Liu Jiubing, Huang Bing, Li Huaxiong, Zhou Xianzhong. 2018. DynamicAgent Evaluation Using Intuitionistic Fuzzy TOPSIS[C]. Proceedings of the 2018IEEE 22nd International Conference on Computer Supported Cooperative Work inDesign, CSCWD 2018, p 407-413.
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Wu Q, Zhou X, Ge F. 2017. A cross-layer protocol for exploitingcooperative diversity in multi-hop wireless ad hoc networks[J]. WirelessNetworks.2017,23(5):1591-1610（DOI: 10.1007/s11276-016-1238-7）
Zhu Xianjun , Xiao Fangxiong,Zhu Haibin, Wu Qilin, Zhou Xianzhong, Hu Wenting. 2017. Group role assignmentwith flexible formation based on the genetic algorithm[C]. IEEE InternationalConference on SMC 2017, v 2017-January, p 2661-2666
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Zhang Libo, Gu Pingping; LiuJiubing; Zhou Xianzhong; Li Huaxiong. 2017. A man-machine collaborativeclassification mechanism based on humanware[C]. Proceedings of the 2017 IEEE14th International Conference on Networking, Sensing and Control, ICNSC, p732-737.
Liu Xin, Zhou Xianzhong, JiTianqi; Bai Han, Li Huaxiong. 2017.Combining eye movements for semantic imageclassification[C]. Proceedings of the 2017 IEEE 14th International Conferenceon Networking, Sensing and Control, ICNSC 2017, p 761-766
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Hu Wenting, Zhou Xianzhong, ZhangLibo, Ji Tianqi, Liu Xin. 2017. Salient locations which should be interested[C].Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, p5757-5762.
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黄孝鹏,周献中,陆晓明,毛可,王宝祥. 2013.从“以人为本”角度理解和认识决策系统的演化趋势——兼谈人机协同决策系统的构建 [J]. 系统科学学报. 2013 (01)
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