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Shaojian Qu
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2020 – today
- 2025
- [j67]Yifan Ma, Ying Ji, Shaojian Qu, Yingying Li:
A two-stage distributionally robust maximum expert consensus model with asymmetric costs and risk aversion. Inf. Sci. 689: 121518 (2025) - 2024
- [j66]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) - [j65]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) - [j64]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) - [j63]Shuai Li, Shaojian Qu, M. I. M. Wahab, Ying Ji:
Low-Carbon supply chain optimisation with carbon emission reduction level and warranty period: nash bargaining fairness concern. Int. J. Prod. Res. 62(18): 6665-6687 (2024) - 2023
- [j62]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) - [j61]Yefan Han, Diego García-Zamora, Bapi Dutta, Ying Ji, Shaojian Qu, Luis Martínez:
Large-scale group decision consensus under social network: A chance-constrained robust optimization-based minimum cost consensus model. Expert Syst. Appl. 231: 120728 (2023) - [j60]Shaojian Qu, Jinpeng Wei, Qiuhan Wang, Yuanming Li, Xiaowan Jin, Loubna Chaib:
Robust minimum cost consensus models with various individual preference scenarios under unit adjustment cost uncertainty. Inf. Fusion 89: 510-526 (2023) - [j59]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) - [j58]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) - [j57]Shaojian Qu, Yang Zhang, Ying Ji, Zheng Wang, Ruijuan Geng:
Online-Review-Driven Products Ranking: A Hybrid Approach. Syst. 11(3): 148 (2023) - [j56]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) - [j55]Jinpeng Wei, Shaojian Qu, Qiuhan Wang, Dongqing Luan, Xiaohui Zhao:
The Novel Data-Driven Robust Maximum Expert Mixed Integer Consensus Models Under Multirole's Opinions Uncertainty by Considering Noncooperators. IEEE Trans. Comput. Soc. Syst. 10(6): 3454-3470 (2023) - 2022
- [j54]Shaojian Qu, Lingli Shu, Jingyuan Yao:
Optimal pricing and service level in supply chain considering misreport behavior and fairness concern. Comput. Ind. Eng. 174: 108759 (2022) - [j53]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) - [j52]Shaojian Qu, Lei Xu, Sachin Kumar Mangla, Felix T. S. Chan, Jianli Zhu, Sobhan Arisian:
Matchmaking in reward-based crowdfunding platforms: a hybrid machine learning approach. Int. J. Prod. Res. 60(24): 7551-7571 (2022) - [j51]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) - [j50]Jinpeng Wei, Shaojian Qu, Shan Jiang, Can Feng, Yuting Xu, Xiaohui Zhao:
Robust minimum cost consensus models with aggregation operators under individual opinion uncertainty. J. Intell. Fuzzy Syst. 42(3): 2435-2449 (2022) - [j49]Shaojian Qu, Shan Jiang, Can Feng:
A new robust insurance model considering the time of accident. J. Intell. Fuzzy Syst. 43(5): 5515-5534 (2022) - [j48]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
- [j47]Ripeng Huang, Shaojian Qu, Xiaoguang Yang, Fengmin Xu, Zeshui Xu, Wei Zhou:
Sparse portfolio selection with uncertain probability distribution. Appl. Intell. 51(10): 6665-6684 (2021) - [j46]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) - [j45]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) - [j44]Huiran Liu, Shaojian Qu, Renjie Li, Hassan Raza:
Bi-objective robust project scheduling with resource constraints and flexible activity execution lists. Comput. Ind. Eng. 156: 107288 (2021) - [j43]Rong Yu, Zhong Wu, Shaojian Qu:
Optimal Strategy of Supply Chain considering Interruption Insurance. Complex. 2021: 9922515:1-9922515:11 (2021) - [j42]Michael J. Ryoba, Shaojian Qu, Yongyi Zhou:
Feature subset selection for predicting the success of crowdfunding project campaigns. Electron. Mark. 31(3): 671-684 (2021) - [j41]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) - [j40]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) - [j39]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
- [j38]Hassan Raza, Jia-Bao Liu, Shaojian Qu:
On Mixed Metric Dimension of Rotationally Symmetric Graphs. IEEE Access 8: 11560-11569 (2020) - [j37]Hassan Raza, Ying Ji, Shaojian Qu:
On Mixed Metric Dimension of Some Path Related Graphs. IEEE Access 8: 188146-188153 (2020) - [j36]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) - [j35]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) - [j34]Yefan Han, Shaojian Qu, Zhong Wu:
Distributionally Robust Chance Constrained Optimization Model for the Minimum Cost Consensus. Int. J. Fuzzy Syst. 22(6): 2041-2054 (2020) - [j33]Yanling Lu, Yejun Xu, Shaojian Qu, Zeshui Xu, Gang Ma, Ziwei Li:
Multiattribute social network matching with unknown weight and different risk preference. J. Intell. Fuzzy Syst. 38(4): 4031-4048 (2020) - [j32]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) - [j31]Deqiang Qu, Zhong Wu, Shaojian Qu, Fan Zhang, Ping Li:
Robust Optimization of Best-worst Multi-criteria Decision-making Method "In Prepress". J. Web Eng. 19(7-8): 131-148 (2020) - [j30]Xuchen Deng, Shaojian Qu:
Cross-Docking Center Location Selection Based on Interval Multi-Granularity Multicriteria Group Decision-Making. Symmetry 12(9): 1564 (2020) - [j29]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
- 2019
- [j28]Shaojian Qu, Yongyi Zhou, Yulin Zhang, M. I. M. Wahab, Guang Zhang, Yuanyuan Ye:
Optimal strategy for a green supply chain considering shipping policy and default risk. Comput. Ind. Eng. 131: 172-186 (2019) - [j27]Shilei Wang, Shaojian Qu, Mark Goh, M. I. M. Wahab, Huan Zhou:
Integrated Multi-stage Decision-Making for Winner Determination Problem in Online Multi-attribute Reverse Auctions Under Uncertainty. Int. J. Fuzzy Syst. 21(8): 2354-2372 (2019) - [j26]Zhimin Liu, Shaojian Qu, Mark Goh, Ripeng Huang, Shilei Wang:
Optimization of fuzzy demand distribution supply chain using modified sequence quadratic programming approach. J. Intell. Fuzzy Syst. 36(6): 6167-6180 (2019) - [j25]Yefan Han, Shaojian Qu, Zhong Wu, Ripeng Huang:
Robust consensus models based on minimum cost with an application to marketing plan. J. Intell. Fuzzy Syst. 37(4): 5655-5668 (2019) - 2018
- [j24]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
- [j23]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) - [j22]Shaojian Qu, Dehua Meng, Yongyi Zhou, Yeming Dai:
Distributionally robust games with an application to supply chain. J. Intell. Fuzzy Syst. 33(5): 2749-2762 (2017) - 2015
- [j21]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
- [j20]Jian-Teng Xu, Shao-Jian Qu:
Decision Analysis for supplier in Two-echelon Supply Chain with discrete demand via Dynamic Game. Asia Pac. J. Oper. Res. 31(4) (2014) - [j19]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) - [j18]Shaojian Qu, Mark Goh, Soon-Yi Wu, Robert de Souza:
Multiobjective DC programs with infinite convex constraints. J. Glob. Optim. 59(1): 41-58 (2014) - [j17]Shao-Jian Qu, Mark Goh, Robert de Souza, Tienan Wang:
Proximal Point Algorithms for Convex Multi-criteria Optimization with Applications to Supply Chain Risk Management. J. Optim. Theory Appl. 163(3): 949-956 (2014) - 2013
- [j16]Shaojian Qu, Mark Goh, Bing Liang:
Trust region methods for solving multiobjective optimisation. Optim. Methods Softw. 28(4): 796-811 (2013) - 2011
- [j15]Shaojian Qu, Mark Goh, Xiujie Zhang:
A new hybrid method for nonlinear complementarity problems. Comput. Optim. Appl. 49(3): 493-520 (2011) - [j14]Zhaocheng Cui, Boying Wu, Shaojian Qu:
Combining nonmonotone conic trust region and line search techniques for unconstrained optimization. J. Comput. Appl. Math. 235(8): 2432-2441 (2011) - [j13]Shaojian Qu, Mark Goh, Felix T. S. Chan:
Quasi-Newton methods for solving multiobjective optimization. Oper. Res. Lett. 39(5): 397-399 (2011) - 2010
- [j12]Jian Zhang, Kecun Zhang, Shaojian Qu:
A nonmonotone adaptive trust region method for unconstrained optimization based on conic model. Appl. Math. Comput. 217(8): 4265-4273 (2010)
2000 – 2009
- 2009
- [j11]Shao-Jian Qu, Su-Da Jiang, Ying Zhu:
A conic trust-region method and its convergence properties. Comput. Math. Appl. 57(4): 513-528 (2009) - [j10]Shao-Jian Qu, Qingpu Zhang, Su-Da Jiang:
A nonmonotone quasi-Newton trust-region method of conic model for unconstrained optimization. Optim. Methods Softw. 24(3): 339-367 (2009) - 2008
- [j9]Shaojian Qu, Kecun Zhang, Fusheng Wang:
A global optimization using linear relaxation for generalized geometric programming. Eur. J. Oper. Res. 190(2): 345-356 (2008) - [j8]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
- [j7]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) - [j6]Ying Ji, Ke-Cun Zhang, Shao-Jian Qu:
A deterministic global optimization algorithm. Appl. Math. Comput. 185(1): 382-387 (2007) - [j5]Shao-Jian Qu, Ke-Cun Zhang, Ying Ji:
A global optimization algorithm using parametric linearization relaxation. Appl. Math. Comput. 186(1): 763-771 (2007) - [j4]Shao-Jian Qu, Ke-Cun Zhang, Jiakun Zhao:
An efficient algorithm for globally minimizing sum of quadratic ratios problem with nonconvex quadratic constraints. Appl. Math. Comput. 189(2): 1624-1636 (2007) - [j3]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
- [j2]Shaojian Qu, Hongyou Yin, Kecun Zhang:
A global optimization algorithm using linear relaxation. Appl. Math. Comput. 178(2): 510-518 (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
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