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Ying Ji 0001
Person information
- affiliation: Shanghai University, Business School, Shanghai, China
- affiliation: University of Shanghai for Science and Technology, Business School, Shanghai, China
- affiliation: Harbin University of Technology, Institute of Basic and Interdisciplinary Sciences, Harbin, China
- affiliation: National University of Singapore, Asia-Pacific Logistics Research Institute, Singapore
- affiliation (PhD 2009): Xi'an Jiaotong University, Xi'an, China
Other persons with the same name
- Ying Ji — disambiguation page
- Ying Ji 0002 — Vanderbilt University, Department of Molecular Physiology & Biophysics, Nashville, TN, USA
- Ying Ji 0003 — Nagoya University, Graduate School of Informatics, Nagoya, Japan
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2020 – today
- 2024
- [j38]Zhongming Wu, Ye Song, Ying Ji, Shaojian Qu, Zaiwu Gong:
Data-driven distributionally robust support vector machine method for multiple criteria sorting problem with uncertainty. Appl. Soft Comput. 149(Part A): 110957 (2024) - [j37]Zelin Wang, Shaojian Qu, Zhisheng Peng, Zhenhua Dai, Yingying Zhou, Ying Ji:
A robust minimum cost consensus model based on social networks considering conflict constraints. Comput. Ind. Eng. 191: 110158 (2024) - [j36]Huanhuan Li, Ying Ji, Jieyu Ding, Shaojian Qu, Huijie Zhang, Yuanming Li, Yubing Liu:
Robust two-stage optimization consensus models with uncertain costs. Eur. J. Oper. Res. 317(3): 977-1002 (2024) - [j35]Yifan Ma, Ying Ji, Deqiang Qu, Xuyuan Zhang, Lun Wang:
Maximum expert consensus model with uncertain adjustment costs for social network group decision making. Inf. Fusion 108: 102403 (2024) - 2023
- [j34]Huijie Zhang, Ying Ji, Shaojian Qu, Huanhuan Li, Yuanming Li:
Data-driven robust cost consensus model with individual adjustment willingness in group decision-making. Comput. Ind. Eng. 183: 109455 (2023) - [j33]Ying Ji, Yifan Ma:
The robust maximum expert consensus model with risk aversion. Inf. Fusion 99: 101866 (2023) - [j32]Ruijuan Geng, Ying Ji, Shaojian Qu, Zheng Wang:
Data-driven product ranking: A hybrid ranking approach. J. Intell. Fuzzy Syst. 44(4): 6573-6592 (2023) - [j31]Zheng Wang, Ying Ji, Tao Zhang, Yuanming Li, Lun Wang, Shaojian Qu:
Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research. Data Technol. Appl. 57(4): 437-464 (2023) - [j30]Shaojian Qu, Yang Zhang, Ying Ji, Zheng Wang, Ruijuan Geng:
Online-Review-Driven Products Ranking: A Hybrid Approach. Syst. 11(3): 148 (2023) - [j29]Shaojian Qu, Lun Wang, Ying Ji, Lulu Zuo, Zheng Wang:
The Strategic Weight Manipulation Model in Uncertain Environment: A Robust Risk Optimization Approach. Syst. 11(3): 151 (2023) - 2022
- [j28]Huijie Zhang, Ying Ji, Rong Yu, Shaojian Qu, Zexing Dai:
The Robust Cost Consensus Model with Interval-Valued Opinion and Uncertain Cost in Group Decision-Making. Int. J. Fuzzy Syst. 24(1): 635-649 (2022) - [j27]Huijie Zhang, Ying Ji, Shaojian Qu, Huanhuan Li, Ripeng Huang:
The robust minimum cost consensus model with risk aversion. Inf. Sci. 587: 283-299 (2022) - [j26]Yefan Han, Ying Ji, Shaojian Qu:
A Robust Minimum-Cost Consensus Model With Uncertain Aggregation Weights Based on Data-Driven Method. IEEE Trans. Comput. Soc. Syst. 9(4): 1167-1184 (2022) - 2021
- [j25]Shaojian Qu, Yuanming Li, Ying Ji:
The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances. Appl. Soft Comput. 107: 107369 (2021) - [j24]Xiaowan Jin, Ying Ji, Shaojian Qu:
Minimum cost strategic weight assignment for multiple attribute decision-making problem using robust optimization approach. Comput. Appl. Math. 40(6) (2021) - [j23]Huanhuan Li, Ying Ji, Zaiwu Gong, Shaojian Qu:
Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs. Inf. Fusion 71: 77-96 (2021) - [j22]Guoqing Jiang, Ying Ji, Zhong Wu, Mohamed Nabé:
The optimal strategies in the supply chain with stochastic demand sensitivity to carbon emission. J. Control. Decis. 8(1): 64-76 (2021) - [j21]Huanhuan Li, Ying Ji, Shaojian Qu:
Two-stage stochastic integrated adjustment deviations and consensus models in an asymmetric costs context. J. Intell. Fuzzy Syst. 40(6): 12301-12319 (2021) - [j20]Ying Ji, Xiaowan Jin, Zeshui Xu, Shaojian Qu:
A mixed 0-1 programming approach for multiple attribute strategic weight manipulation based on uncertainty theory. J. Intell. Fuzzy Syst. 41(6): 6739-6754 (2021) - 2020
- [j19]Hassan Raza, Ying Ji, Shaojian Qu:
On Mixed Metric Dimension of Some Path Related Graphs. IEEE Access 8: 188146-188153 (2020) - [j18]Jianhui Du, Ying Ji, Deqiang Qu, Xiaoqing Wu, Dan Yang:
Three-Stage Mixed Integer Robust Optimization Model Applied to Humanitarian Emergency Logistics by Considering Secondary Disasters. IEEE Access 8: 223255-223270 (2020) - [j17]Ripeng Huang, Shaojian Qu, Zaiwu Gong, Mark Goh, Ying Ji:
Data-driven two-stage distributionally robust optimization with risk aversion. Appl. Soft Comput. 87: 105978 (2020) - [j16]Ping Li, Ying Ji, Zhong Wu, Shao-Jian Qu:
A New Multi-Attribute Emergency Decision-Making Algorithm Based on Intuitionistic Fuzzy Cross-Entropy and Comprehensive Grey Correlation Analysis. Entropy 22(7): 768 (2020) - [j15]Zhimin Liu, Shaojian Qu, Zhong Wu, Ying Ji:
Two-stage fuzzy mixed integer optimization model for three-level location allocation problems under uncertain environment. J. Intell. Fuzzy Syst. 39(5): 6741-6756 (2020) - [j14]Ying Ji, Shaojian Qu, Zhong Wu, Zhimin Liu:
A Fuzzy Robust Weighted Approach for Multi-Criteria Bilevel Games. IEEE Trans. Ind. Informatics 16(8): 5369-5376 (2020)
2010 – 2019
- 2018
- [j13]Ying Ji, Meng Li, Shaojian Qu:
Multi-objective linear programming games and applications in supply chain competition. Future Gener. Comput. Syst. 86: 591-597 (2018) - 2017
- [j12]Shaojian Qu, Ying Ji, Jianlin Jiang, Qingpu Zhang:
Nonmonotone gradient methods for vector optimization with a portfolio optimization application. Eur. J. Oper. Res. 263(2): 356-366 (2017) - 2016
- [j11]Ying Ji, Mark Goh, Robert de Souza:
Proximal Point Algorithms for Multi-criteria Optimization with the Difference of Convex Objective Functions. J. Optim. Theory Appl. 169(1): 280-289 (2016) - 2015
- [j10]Shaojian Qu, Mark Goh, Ying Ji, Robert de Souza:
A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application. Eur. J. Oper. Res. 247(2): 359-365 (2015) - 2014
- [j9]Ying Ji, Tienan Wang, Mark Goh, Yong Zhou, Bo Zou:
The worst-case discounted regret portfolio optimization problem. Appl. Math. Comput. 239: 310-319 (2014) - [j8]Shaojian Qu, Chen Liu, Mark Goh, Yijun Li, Ying Ji:
Nonsmooth multiobjective programming with quasi-Newton methods. Eur. J. Oper. Res. 235(3): 503-510 (2014) - 2010
- [j7]Ying Ji, Yijun Li, Ke-Cun Zhang, Xinli Zhang:
A new nonmonotone trust-region method of conic model for solving unconstrained optimization. J. Comput. Appl. Math. 233(8): 1746-1754 (2010)
2000 – 2009
- 2008
- [j6]Shao-Jian Qu, Ying Ji, Ke-Cun Zhang:
A deterministic global optimization algorithm based on a linearizing method for nonconvex quadratically constrained programs. Math. Comput. Model. 48(11-12): 1737-1743 (2008) - 2007
- [j5]Shao-Jian Qu, Kecun Zhang, Ying Ji:
A new global optimization algorithm for signomial geometric programming via Lagrangian relaxation. Appl. Math. Comput. 184(2): 886-894 (2007) - [j4]Ying Ji, Ke-Cun Zhang, Shao-Jian Qu:
A deterministic global optimization algorithm. Appl. Math. Comput. 185(1): 382-387 (2007) - [j3]Shao-Jian Qu, Ke-Cun Zhang, Ying Ji:
A global optimization algorithm using parametric linearization relaxation. Appl. Math. Comput. 186(1): 763-771 (2007) - [j2]Ying Ji, Ke-Cun Zhang, Shao-Jian Qu, Ying Zhou:
A trust-region method by active-set strategy for general nonlinear optimization. Comput. Math. Appl. 54(2): 229-241 (2007) - 2006
- [j1]Ying Ji, Shao-Jian Qu, Yanjun Wang, Huimin Li:
A conic trust-region method for optimization with nonlinear equality and inequality constrains via active-set strategy. Appl. Math. Comput. 183(1): 217-231 (2006)
Coauthor Index
aka: Shao-Jian Qu
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last updated on 2024-09-19 23:45 CEST by the dblp team
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