最终学位：博士
导师类型：博士生导师
电子邮箱：czhang@sxu.edu.cn
联系电话：0351-7010566
研究方向：数据挖掘、粒计算、智能决策
张超，博士毕业于山西大学系统工程专业、硕士毕业于香港大学电机电子工程专业。现为山西大学智能信息处理研究所教授，博士生导师。研究方向为数据挖掘、粒计算、智能决策。山西省一流本科课程“数据科学导论”负责人。
近年来，先后主持国家自然科学基金面上项目、青年项目、中央引导地方科技发展资金项目和山西省重点研发计划、应用基础研究计划等科研项目10余项，省级教改项目3项。在国际期刊IEEE Transactions on Computational Social Systems、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Consumer Electronics、Information Sciences、Information Fusion、International Journal of Approximate Reasoning、Applied Soft Computing、Computers in Industry、Applied Mathematical Modelling，以及国内期刊《计算机研究与发展》、《控制与决策》等上发表学术论文80余篇，其中SCI期刊论文50余篇，主编专著5部，参编专著5部，获国家发明专利多项。以第一完成人身份获山西省第十一次社会科学研究优秀成果奖二等奖、山西省高等学校科学研究优秀成果奖一等奖、“百部（篇）工程”一等奖、太原市自然科学优秀学术论文一等奖、中国粒计算与知识发现会议优秀学生论文奖、中国高校计算机教育大会优秀论文一等奖等奖项。博士学位论文获ACM中国理事会太原分会优秀博士论文、山西大学优秀博士学位论文。入选山西省“三晋英才”支持计划、山西省高等学校青年科研人员培育计划、山西省科技创新青年人才团队核心成员、山西大学“文瀛青年学者”人才计划，山西大学优秀青年教师。
中国人工智能学会粒计算与知识发现专委会委员、人工智能基础专委会委员。担任SCI期刊Computational Intelligence副主编、EI期刊International Journal of Cognitive Computing in Engineering和ESCI期刊Frontiers in Artificial Intelligence编委，《计算机工程》、《数据采集与处理》、《工业工程》青年编委，《计算机工程》初审编辑。国际会议ICONIP、IEEE ISPCE-AS、NCAA程序委员会委员，国际SCI期刊International Journal of Fuzzy Systems和Electronics客座主编，《计算机科学》年度“杰出审稿专家”，IEEE TFS、IEEE TKDE、IEEE TCYB、IEEE TII、IEEE TCSS、IEEE TETCI、IEEE TCE、IEEE/CAA JAS、IEEE IoT-J等多个SCI期刊审稿人。国家自然科学基金评审专家，山西省工信厅、山西省商务厅、山西省科技厅评审专家。曾受邀担任人工智能领域专业技术转移转化能力提升高级研修班、形式概念分析与粒计算学术研讨会、模糊系统与数据挖掘国际会议等多个国内外学术会议特邀报告人。
积极引导学生参与科研实践，培养学生科研能力与创新能力。多次指导研究生获研究生国家奖学金、山西省研究生教育创新项目、优秀研究生。多次指导本科生参加国家级大学生创新创业训练计划等科研训练与学科竞赛，发表CCF推荐国际学术会议和SCI期刊论文多篇，获得一级竞赛国家一等奖等多个学科竞赛奖项。
张超教授更多信息请访问:
谷歌学术网站: https://scholar.google.com/citations?user=TPm3JMcAAAAJ
ORCID网站: https://orcid.org/0000-0001-6248-9962
[1] Chao Zhang, Jingjing Zhang, Arun Kumar Sangaiah*, Deyu Li*, Wentao Li. Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion. Applied Soft Computing, 2024, 159: 111686
[2] Chao Zhang, Qifei Wen, Deyu Li*, Arun Kumar Sangaiah*, Mingwei Lin. Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method. Engineering Applications of Artificial Intelligence, 2024, 133: 108485
[3] Chao Zhang*, Bingjie Wang, Wentao Li, Deyu Li. Incorporating artificial intelligence in detecting crop diseases: Agricultural decision-making based on group consensus model with MULTIMOORA and evidence theory. Crop Protection, 2024, 179: 106632
[4] Chao Zhang*, Haonan Hou, Arun Kumar Sangaiah*, Deyu Li, Wentao Li. Enhancing high temperature prediction via six-fold strategy consensus-reaching processes: A case study using FY-3E spatio-temporal remote sensing satellite data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, DOI: 10.1109/JSTARS.2024.3447353
[5] Chao Zhang, Juanjuan Ding, Jianming Zhan, Arun Kumar Sangaiah*, Deyu Li*. Fuzzy intelligence learning based on bounded rationality in IoMT systems: A case study in Parkinson's disease. IEEE Transactions on Computational Social Systems, 2023, 10(4): 1607-1621
[6] Chao Zhang, Jingjing Zhang, Wentao Li*, Witold Pedrycz, Deyu Li*. A regret theory-based multi-granularity three-way decision model with incomplete T-spherical fuzzy information and its application in forest fire management. Applied Soft Computing, 2023, 145: 110539
[7] Chao Zhang, Xiaochuan Li, Arun Kumar Sangaiah*, Wentao Li, Baoli Wang*, Feng Cao, Xuekui Shangguan*. Collaborative fuzzy linguistic learning to low-resource and robust decision system based on bounded rationality. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, DOI: 10.1145/3592605
[8] Chao Zhang*, Juanjuan Ding, Jianming Zhan, Deyu Li. Incomplete three-way multi-attribute group decision making based on adjustable multigranulation Pythagorean fuzzy probabilistic rough sets. International Journal of Approximate Reasoning, 2022, 147: 40-59
[9] Chao Zhang, Wenhui Bai, Deyu Li*, Jianming Zhan. Multiple attribute group decision making based on multigranulation probabilistic models, MULTIMOORA and TPOP in incomplete q-rung orthopair fuzzy information systems. International Journal of Approximate Reasoning, 2022, 143: 102-120
[10] Chao Zhang, Juanjuan Ding, Deyu Li*, Jianming Zhan. A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems. International Journal of Approximate Reasoning, 2021, 138: 161-187
[11] Chao Zhang, Deyu Li*, Jiye Liang, Baoli Wang. MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA. International Journal of Machine Learning and Cybernetics, 2021, 12(5): 1219-1241
[12] Chao Zhang, Deyu Li*, Jiye Liang. Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Information Sciences, 2020, 507: 665-683
[13] Chao Zhang, Deyu Li*, Jiye Liang. Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making. Information Sciences, 2020, 511: 192-211
[14] Chao Zhang, Deyu Li*, Xiangping Kang, Dong Song, Arun Kumar Sangaiah, Said Broumi. Neutrosophic fusion of rough set theory: An overview. Computers in Industry, 2020, 115: 103117
[15] Chao Zhang, Deyu Li*, Yanhui Zhai, Yuanhao Yang. Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit. International Journal of Machine Learning and Cybernetics, 2019, 10(4): 719-729
[16] Chao Zhang, Deyu Li*, Jiye Liang. Hesitant fuzzy linguistic rough set over two universes model and its applications. International Journal of Machine Learning and Cybernetics, 2018, 9(4): 577-588
[17] Chao Zhang, Deyu Li*, Yimin Mu, Dong Song. An interval-valued hesitant fuzzy multigranulation rough set over two universes model for steam turbine fault diagnosis. Applied Mathematical Modelling, 2017, 42: 693-704
[18] Chao Zhang, Deyu Li*, Rui Ren. Pythagorean fuzzy multigranulation rough set over two universes and its applications in merger and acquisition. International Journal of Intelligent Systems, 2016, 31(9): 921-943
[19] Juanjuan Ding, Chao Zhang*, Deyu Li*, Jianming Zhan, Wentao Li, Yiyu Yao. Three-way decisions in generalized intuitionistic fuzzy environments: Survey and challenges. Artificial Intelligence Review, 2024, 57(2): 38
[20] Meihui Zhong, Mingwei Lin*, Chao Zhang*, Zeshui Xu. A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges. Computers & Security, 2024, 141: 103821
[21] Wenhui Bai, Chao Zhang*, Yanhui Zhai*, Arun Kumar Sangaiah*. A robust incomplete large-scale group decision-making model for metaverse metro operations and maintenance. Applied Soft Computing, 2024, 156: 111472
[22] Juanjuan Ding, Chao Zhang*, Deyu Li*, Arun Kumar Sangaiah*. Hyperautomation for air quality evaluations: A perspective of evidential three-way decision-making. Cognitive Computation, 2024, 16(5): 2437-2453
[23] Juanjuan Ding, Deyu Li*, Chao Zhang*, Mingwei Lin. Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis. Applied Intelligence, 2023, 53(24): 29693-29712
[24] Lun Guo, Jianming Zhan*, Chao Zhang, Zeshui Xu. A large-scale group decision-making method fusing three-way clustering and regret theory under fuzzy preference relations. IEEE Transactions on Fuzzy Systems, 2024, 32(9): 4846-4860
[25] Yibin Xiao, Jianming Zhan*, Chao Zhang, Weizhi Wu. Three-way decision method within prospect theory via intuitionistic fuzzy numbers in multi-scale decision information systems. IEEE Transactions on Fuzzy Systems, 2024, 32(9): 4820-4834
[26] Tao Zhan, Wentao Li*, Chao Zhang. Discrete impulsive signal observer for fractional order control systems and its consumer electronic circuit application. IEEE Transactions on Consumer Electronics, 2024, 70(1): 3341-3348
[27] Yibin Xiao, Jianming Zhan*, Chao Zhang, Peide Liu. A sequential three-way decision-based group consensus method with regret theory under interval multi-scale decision information systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(2): 1670-1686
[28] Wentao Li, Chaojun Deng, Witold Pedrycz, Oscar Castillo, Chao Zhang, Tao Zhan*. Double-quantitative feature selection approach for multi-granularity ordered decision systems. IEEE Transactions on Artificial Intelligence, 2024, 5(5): 2385-2396
[29] Wenjie Wang, Jianming Zhan*, Chao Zhang, Enrique Herrera-Viedma, Gang Kou. A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems. Information Fusion, 2023, 89: 382-396
[30] Erliang Yao, Deyu Li*, Yanhui Zhai, Chao Zhang. Multi-label feature selection based on relative discernibility pair matrix. IEEE Transactions on Fuzzy Systems, 2022, 30(7): 2388-2401
[31] 张超*, 李德玉. 考虑关联性与优先关系的区间犹豫模糊图决策. 计算机研究与发展, 2019, 56(11): 2438-2447
[32] 张超, 李德玉*, 翟岩慧. 双论域上的犹豫模糊语言多粒度粗糙集及其应用. 控制与决策, 2017, 32(1): 105-110
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[2] 国家自然科学基金青年项目: 多属性群决策的多粒度三支建模理论与方法(项目编号: 61806116, 主持), 时间: 2019-2021
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[6] 山西省高等学校青年科研人员培育计划: (国际合作项目, 主持), 时间: 2019-2021
[7] 山西省高等学校优秀成果培育项目: Pythagorean Fuzzy Multigranulation Rough Set over Two Universes and Its Applications in Merger and Acquisition (项目编号: 2019SK036, 主持), 时间: 2019-2021
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[10] 山西省高等学校科技创新项目: 多属性群决策的多粒度决策粗糙集模型研究(项目编号: 201802014, 主持), 时间: 2018-2020
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