[1] 国家自然科学基金面上项目: 面向群决策的多粒度融合建模理论与方法研究(项目编号: 62272284, 主持), 时间: 2023-2026

[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

[3] 中央引导地方科技发展资金项目: 基于可调多粒度的三支大群体共识建模关键技术研究(项目编号: YDZJSX2024D015, 主持), 时间: 2024-2027

[4] 山西省重点研发计划(国际科技合作)项目: 基于多粒度三支计算的山西转型综改商务智能技术研究(项目编号: 201903D421041, 主持), 时间: 2019-2022

[5] 山西省应用基础研究计划面上青年基金: 面向多属性群决策的多粒度三支建模研究(项目编号: 201801D221175, 主持), 时间: 2018-2020

[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

[8] 山西省高等学校教学改革创新项目: 新工科背景下《数据科学导论》课程思政建设路径研究(项目编号: J20220061, 主持), 时间: 2022-2024

[9] 山西省研究生教育教学改革课题: 基于项目驱动的计算机学科研究生主动融入山西转型综改示范区建设路径研究(项目编号: 2021YJJG041, 主持), 时间: 2021-2023

[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

[11] 山西大学-小店区产学研合作项目: 信创环境下智能信息匹配与知识发现技术研发及应用(项目编号: 202003S08, 主持), 时间: 2020-2022

[12] 山西省科技创新青年人才团队: 多粒度信创计算(项目编号: 202204051001015, 子课题负责人), 时间: 2022-2025

[13] 国家自然科学基金面上项目: 基于形式概念分析的关联数据知识表示与推理研究(项目编号: 62072294, 参与), 时间: 2021-2024

[14] 国家自然科学基金面上项目: 基于决策蕴涵的知识表示和推理研究(项目编号: 61972238, 参与), 时间: 2020-2023

[15] 国家自然科学基金面上项目: 基于标记概念监督的多标记粒计算理论与算法研究(项目编号: 61672331, 参与), 时间: 2017-2020

[16] 山西省应用基础研究计划面上青年基金: 基于深度特征建模复杂降质因素的图像增强算法研究(项目编号: 201901D211176, 参与), 时间: 2019-2022

[17] 山西省筹资金资助回国留学人员科研项目: 基于多机协同与知识迁移的数据标注关键技术研究(项目编号: 2022-007, 参与), 时间: 2022-2025

[18] 山西省高等学校教学改革创新项目: 新工科背景下基于PBL模式的数字图像处理课程教学优化探索(项目编号: J2021083, 参与), 时间: 2021-2023

[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