郭卫卫副教授

个人简介

郭卫卫，男，副教授，南京信息工程大学管理工程学院数字经济系教师。毕业于华南理工大学，获管理学博士学位。主要从事智能决策，群体共识，偏好学习，投资组合等方面的研究。作为主要研究人员参与科技创新2030-“新一代人工智能”重大项目，多项国家自然科学基金面上项目。在《European Journal of Operational Research》，《Omega》，《IEEE Transactions on Fuzzy Systems》，《IEEE Transactions on Systems Man Cybernetics-Systems》，《Information Fusion》，《Information Sciences》，《Knowledge-Based Systems》，《Expert Systems With Application》，《Applied Soft Computing》，《Computers & Industrial Engineering》，《Fuzzy Optimization and Decision Making》等期刊发表论文20余篇，其中ESI高被引论文2篇。出版中文专著《不确定判断矩阵理论及其应用》（第二作者），获得江苏省哲学社会科学优秀成果奖二等奖，江苏省高校哲学社会科学研究成果奖二等奖。目前担任《European Journal of Operational Research》，《Annals of Operations Research》，《IEEE Transactions on Fuzzy Systems》，《IEEE Transactions on Systems Man Cybernetics- Systems》，《Technological Forecasting and Social Change》，《Information Fusion》，《Applied Soft Computing》，《Computers & Industrial Engineering》，《Engineering Applications of Artificial Intelligence》，《Fuzzy Optimization and Decision Making》等著名期刊匿名审稿专家。

科研项目：

[1] 科技创新2030-“新一代人工智能”重大项目: 复杂金融信息网络下的系统性风险感知与智能监管，2020AAA0108404，2020.11--2024.10，参与。

[2] 国家自然科学基金面上项目， 71971121，2020.01-2023.12，参与。

[3] 国家自然科学基金面上项目， 71571104，2016.01-2019.12，参与。

[4] 江苏省研究生科研创新计划，KYCX20_0983，2020.04--2021.04，主持。

主要科研论文：[1] Guo, W., Gong, Z., Zhang, W. G., & Xu, Y. (2023). Minimum cost consensus modeling under dynamic feedback regulation mechanism considering

     consensus principle and tolerance level. European Journal of Operational Research, 306(3), 1279-1295. (ABS四星，FMS A类，ESI高被引论文）

[2] Gong, Z., Guo, W., Herrera-Viedma, E., Gong, Z., & Wei, G. (2020). Consistency and consensus modeling of linear uncertain preference relations. 

     European Journal of Operational Research, 283(1), 290-307.  (ABS四星, FMS A类）

[3] Gong, Z., Guo, W., & Słowiński, R. (2021). Transaction and interaction behavior-based consensus model and its application to optimal carbon 

     emission reduction. Omega, 104, 102491.  (ABS三星）

[4] Guo, W., Zhang, W. G., Gong, Z., Kou, G., & Xu, X. (2024). Multi-round minimum cost consensus model with objectivity-fairness driven feedback 

     mechanism. Information Fusion, 104, 102185.

[5] Guo, W., Zhang, W. G., & Chen, X. (2024). Portfolio Selection Models Considering Fuzzy Preference Relations of Decision Makers. 

     IEEE Transactions on Systems, Man, and Cybernetics: Systems. (ABS三星）

[6] Guo, W., Wang, H., Zhang, W. G., Gong, Z., Xu, Y., & Słowiński, R. (2024). Multi-dimensional multi-round minimum cost consensus models with

     iterative mechanisms involving reward and punishment measures. Knowledge-Based Systems, 293, 111710.

[7] Guo, W., Gong, Z., Xu, X., & Herrera-Viedma, E. (2020). Additive and multiplicative consistency modeling for incomplete linear uncertain 

     preference relations and its weight acquisition. IEEE Transactions on Fuzzy Systems, 29(4), 805-819.

[8] Guo, W., Gong, Z., Xu, X., Krejcar, O., & Herrera-Viedma, E. (2021). Linear uncertain extensions of the minimum cost consensus model based on 

     uncertain distance and consensus utility. Information Fusion, 70, 12-26.

[9] Guo, W., Gong, Z., Herrera-Viedma, E., & Li, Q. (2021). Priority weights acquisition of linear uncertain preference relations and its application in

     the ranking of online shopping platforms. Applied Soft Computing, 105, 107292.

[10] Guo, W., Zhang, W. G., & Gong, Z. (2024). Modeling of linear uncertain portfolio selection with uncertain constraint and risk index. 

       Fuzzy Optimization and Decision Making, 23(3), 469-496.  (ABS三星）

[11] Guo, W., Zhang, W. G., Gong, Z., Xu, X., Chen, X., & Liu, Y. J. (2025). Multi-dimensional minimum cost consensus model and its application

       in the location problem of industrial agglomeration zone. Expert Systems with Applications, 264, 125807.

[12] Gong, Z., Wang, Y., Wei, G., Li, L., & Guo, W. (2020). Cascading disasters risk modeling based on linear uncertainty distributions. 

       International journal of disaster risk reduction, 43, 101385.

[13] Gong, Z., Wang, H., Guo, W., Gong, Z., & Wei, G. (2020). Measuring trust in social networks based on linear uncertainty theory. 

       Information Sciences, 508, 154-172.

[14] Gong, Z., Xu, X., Guo, W., Herrera-Viedma, E., & Cabrerizo, F. J. (2021). Minimum cost consensus modelling under various linear

       uncertain-constrained scenarios. Information Fusion, 66, 1-17. (ESI高被引）

[15] Gong, Z., Ma, X., Guo, W., Wei, G., & Herrera-Viedma, E. (2022). A minimum-cost consensus model in social networks derived 

       from uncertain preferences. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(6), 3338-3350.  (ABS三星）

[16] Song, H., Gong, Z., Forrest, J. Y. L., Guo, W., & Herrera-Viedma, E. (2023). Social network utility consensus model with empathic 

       and fuzzy interactions. Computers & Industrial Engineering, 175, 108904.

[17] Xu, Y., Gong, Z., Wei, G., Guo, W., & Herrera‐Viedma, E. (2022). Information consistent degree‐based clustering method for 

       large‐scale group decision‐making with linear uncertainty distributions information. International Journal of Intelligent Systems, 

       37(6), 3394-3439.

[18] Song, H., Gong, Z., Wei, G., Guo, W., Ma, X., & Herrera-Viedma, E. (2023). Non-additive robust ordinal regression: A multicriteria 

       decision model based on hierarchical-level-bidirectional choquet integral. Applied Soft Computing, 146, 110643.

[19] Ma, X., Gong, Z., & Guo, W. (2020). Optimisation of group consistency for incomplete uncertain preference relation. International 

       Journal of Computational Intelligence Systems, 13(1), 130-141.

[20] Xu, X., Gong, Z., Guo, W., Wu, Z., Herrera-Viedma, E., & Cabrerizo, F. J. (2021). Optimization consensus modeling of a closed-loop carbon 

       quota trading mechanism regarding revenue and fairness. Computers & Industrial Engineering, 161, 107611.

[21] Sun, R., Gong, Z., Guo, W., Shah, A. A., Wu, J., & Xu, H. (2022). Flood disaster risk assessment of and countermeasures toward Yangtze 

       River Delta by considering index interaction. Natural Hazards, 112(1), 475-500.

学术专著：

[1] 巩在武，郭卫卫，张宁，李鹏. 不确定判断矩阵理论及其应用，科学出版社，2022.

科研奖励：

[1] 江苏省哲学社会科学优秀成果奖二等奖，第二获奖人。

[2] 江苏省高校哲学社会科学研究成果奖二等奖，第二获奖人。

[3] 江苏省优秀硕士毕业论文（指导老师：巩在武教授），独立获奖人。

教育经历

[1]   2014.9- 2018.6

南京信息工程大学 管理学学士学位

[2]   2018.9- 2021.6

南京信息工程大学 管理学硕士学位

[3]   2021.9- 2024.9

华南理工大学 管理学博士学位

工作经历

[1]   2024.10- 至今

南京信息工程大学  |  管理工程学院

社会兼职

• [1]   担任《European Journal of Operational Research》，《Annals of Operations Research》，《IEEE Transactions on Fuzzy Systems》，《IEEE Transactions on Systems Man Cybernetics- Systems》，《Technological Forecasting and Social Change》，《Information Fusion》，《Applied Soft Computing》，《Computers & Industrial Engineering》，《Engineering Applications of Artificial Intelligence》，《Fuzzy Optimization and Decision Making》等著名期刊匿名审稿专家。

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