[1] AGovindan K, Fattahi M, Keyvanshokooh E. Supply chain network design under uncertainty: a comprehensive review and futureresearch directions[J]. European Journal of Operational Research, 2017, 263(1): 108-141. [2] Quddus M A, Hossain N U I, Mohammad M, Jaradat R M, Roni M S. Sustainable network design for multi-purpose pellet processing depots underbiomass supply uncertainty[J]. Computers & Industrial Engineering, 2017, 110: 462-483. [3] 高举红,李梦梦,韩冰.考虑碳减排风险的闭环供应链网络设计[J].工业工程与管理,2017,22(2):8-14. [4] 田俊峰,杨梅,岳劲峰.具有遗憾值约束的鲁棒供应链网络设计模型研究[J].管理工程学报,2012,26(1):48-55. [5] 马卫民,李彬,徐博,张发幼.考虑节点中断和需求波动的可靠供应链网络设计问题[J].系统工程理论与实践,2015,35(8):2025-2033. [6] Qin Z, Ji X. Logistics network design for product recovery in fuzzy environment[J]. European Journal Operational Research, 2010, 202(2): 479-490. [7] Balaman S Y, Selim H. A fuzzy multiobjective linear programming model for design and management of anaerobic digestion basedbioenergy supply chains[J]. Energy, 2014, 74(5): 928-940. [8] Jindal A, Sangwan K S. Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programmingmodel[J]. International Journal of Production Research, 2014, 52(14): 4156-4173. [9] 李进.低碳环境下闭环供应链网络设计多目标鲁棒模糊优化问题[J].控制与决策,2018,33(2):293-300. [10] Duffie D, Pan J. An overview of value at risk[J]. Journal of Derivatives, 1997, 4(3): 7-49. [11] Wang S, Watada J, Pedrycz W. Value-at-risk-based two-stage fuzzy facility location problems[J]. IEEE Transactions on Industrial Informatics, 2009, 5(4): 465-482. [12] Wang S, Watada J. A hybrid BPSO approach for fuzzy facility location problems with VaR[C]. Proceedings of 2010 Fourth International Conference on Genetic and Evolutionary Computing(ICGEC), 2010: 43-46. [13] Wang S, Watada J. Two-stage fuzzy stochastic programming with Value-at-Risk criteria[J]. Applied Soft Computing, 2011, 11(1): 1044-1056. [14] Wang S,Watada J. A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy randomuncertainty[J]. Information Sciences, 2012, 192: 3-18. [15] Bai X, Liu Y. Robust optimization of supply chain network design in fuzzy decision system[J]. Journal of Intelligent Manufacturing, 2016, 27(6): 1131-1149. [16] Yang K, Liu Y, Yang G. Optimizing fuzzy p-hub center problem with generalized value-at-risk criterion[J]. Applied Mathematical Modelling, 2014, 38(15-16): 3987-4005. [17] Yang G Q, Liu Y K, Yang K. Multi-objective biogeography-based optimization for supply chain network design under uncertainty[J]. Computers & Industrial Engineering, 2015, 85: 145-156. [18] Zadeh L A. Fuzzy sets as a basis for a theory of possibility[J]. Fuzzy sets and systems, 1978, 100(1): 3-28. [19] Zadeh L A. A theory of approximate reasoning[J]. Machine Intelligence, 1979, 9(9): 149-194. [20] Liu B, Liu Y K. Expected value of fuzzy variable and fuzzy expected value models[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(4): 445-450. [21] Liu B. Uncertainty theory: a branch of mathematics for modeling human uncertainty[M]. Berlin: Springer, 2010. [22] Zhou J, Yang F,Wang K. Fuzzy arithmetic on LR fuzzy numbers with applications to fuzzy programming[J]. Journal of Intelligent& Fuzzy Systems, 2016, 30(1): 71-87. [23] Fernandes D R M, Rocha C, Aloise D, Ribeiro G M, Santos E M , Silva A. A simple and effective genetic algorithm for the two-stage capacitated facility locationproblem[J]. Computers & Industrial Engineering, 2014, 75(1): 200-208. [24] Guo P, Cheng W, Wang Y. Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stagecapacitated facility location problems[J]. Expert Systems with Applications, 2017, 71: 57-68. |