[1] 李星梅, 魏涵静,乞建勋,等. 资源约束下可打断项目组合选择模型研究[J]. 中国管理科学, 2016, 24(11):40-46.[2] Tavana M, Khalili-Damghani K, Abtahi A R. A fuzzy multidimensional multiple-choice knapsack model for project portfolio selection using an evolutionary algorithm[J]. Annals of Operations Research, 2013, 206(1):449-483.[3] Gutjahr W J, Froeschl K A. Project portfolio selection under uncertainty with outsourcing opportunities[J]. Flexible Services and Manufacturing Journal, 2013, 25(1-2):255-281.[4] Yu L, Wang Shouyang, Wen Fenghua, et al. Genetic algorithm-based multi-criteria project portfolio selection[J]. Annals of Operations Research, 2012, 197(1):71-86.[5] 寿涌毅, 姚伟建. 信息不确定下项目组合选择问题的鲁棒优化[J]. 系统工程, 2009, 27(7):90-95.[6] 杨颖, 杨善林, 胡小建. 基于战略一致性的新产品开发项目组合选择[J]. 系统工程理论与实践, 2014, 34(4):964-970.[7] Bas E. Surrogate relaxation of a fuzzy multidimensional 0-1 knapsack model by surrogate constraint normalization rules and a methodology for multi-attribute project portfolio selection[J]. Engineering Applications of Artificial Intelligence, 2012, 25(5):958-970.[8] Liesiö J, Salo A. Scenario-based portfolio selection of investment projects with incomplete probability and utility information[J]. European Journal of Operational Research, 2012, 217(1):162-172.[9] Perez F, Gomez T. Multiobjective project portfolio selection withfuzzy constraints[J]. Annals of Operations Research, 2014,245(1):1-23.[10] Huang Xiaoxia, Zhao Tianyi, Kudratova S. Uncertain mean-variance and mean-semivariance models for optimal project selection and scheduling[J]. Knowledge-Based Systems, 2016, 93:1-11.[11] Bertsimas D, Sim M. The price of robustness[J]. Operations Research, 2004, 52(1):35-53.[12] 陈涛, 黄钧, 朱建明. 基于信息更新的两阶段鲁棒-随机优化调配模型研究[J]. 中国管理科学, 2015, 23(10):67-77.[13] Shen Ruijun, Zhang Shuzhong. Robust portfolio selection based on a multi-stage scenario tree[J]. European Journal of Operational Research, 2008, 191(3):864-887.[14] 赵昊天, 贾传亮, 宋砚秋, 等. 不确定需求下航空超售问题的鲁棒优化研究[J].中国管理科学, 2013, 21(S1):98-102.[15] Hassanzadeh F, Nemati H, Sun Minghe. Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selection[J]. European Journal of Operational Research, 2014, 238(1):41-53.[16] Fliedner T, Liesiö J. Adjustable robustness for multi-attribute project portfolio selection[J]. European Journal of Operational Research, 2016, 252(3):931-946.[17] Hassanzadeh F, Modarres M, Nemati H R, et al. A robust R&D project portfolio optimization model for pharmaceutical contract research organizations[J]. International Journal of Production Economics, 2014, 158:18-27. |