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Teller J, Kock A, Gemu¨nden HG (2014) Risk management in project portfolios is more than managing project risks: a contingency perspective on risk management. Proj Manag J 45(4):67–80 Teller J (2013) Portfolio risk management and its contribution to project portfolio success: an investigation of organization, process, and culture. Proj Manag J 44(2):36–51 Lean Y, Shouyang W, Fenghua W (2012) Genetic algorithm-based multi-criteria project portfolio selection. Ann Oper Res 197(1):71–86. https://doi.org/10.1007/s10479-010-0819-6 Tofighian AA, Naderi B (2015) Modeling and solving the project selection and scheduling. Comput Ind Eng 83:30–38. https://doi.org/10.1016/j.cie.2015.01.012 Kopmann J, Kock A, Killen CP, Gemünden HG (2017) The role of project portfolio management in fostering both deliberate and emergent strategy. Int J Project Manag 35(4):557–570 Wu H, Chen H (2015) Nash equilibrium strategy for a multi-period mean–variance portfolio selection problem with regime switching. Econ Model 46:79–90 Bhattacharyya R, Kumar P, Kar S (2011) Fuzzy R&D portfolio selection of interdependent projects. Comput Math Appl 62(10):3857–3870. https://doi.org/10.1016/j.camwa.2011.09.036 Hassanzadeh F, Nemati H, Sun M (2014) robust optimization for interactive multi-objective programming with imprecise information applied to R&D project portfolio selection. Eur J Oper Res 238(1):41–53. https://doi.org/10.1016/j.ejor.2014.03.023 Hosseininasab A, Ahmadi A (2015) Selecting a supplier portfolio with value, development, and risk consideration. Eur J Oper Res 245(1):146–156. https://doi.org/10.1016/j.ejor.2015.02.041 Vazhayil J, Balasubramanian R (2014) Optimization of India’s electricity generation portfolio using intelligent Pareto-search genetic algorithm. Int J Electr Power Energy Syst 55:13–20. https://doi.org/10.1016/j.ijepes.2013.08.024 Lorca A, Prina J (2014) Power portfolio optimization considering locational electricity prices and risk management. Electr Power Syst Res 109:80–89. https://doi.org/10.1016/j.epsr.2013.12.004 Zhang H (2007) A redefinition of the project risk process: using vulnerability to open up the event-consequence link. Int J Project Manag 25(7):694–701 Teller J, Kock A (2013) An empirical investigation on how portfolio risk management influences project portfolio success. Int J Proj Manag 31(6):817–829 Project Management Institute (2017a) A guide to the project management body of knowledge (PMBOK® guide) – Sixth edition. Author, Newtown Square, PA Olsson R (2008) Risk management in a multi-project environment: An approach to manage portfolio risks. Int J Qual Reliab Manag 25(1):60–71 Project Management Institute (2017b) The standard for portfolio management – Fourth edition. Author, Newtown Square, PA Naderi F, Manteghi M, Safaei Moghaddam A (2014) Risk identification and analysis of the fourth-generation engine project based on the PMBOK standard. J Manag Improv 8(23):107–128 Danesh D, Ryan JM, Abbasi A (2018) Multi-criteria decision-making methods for project portfolio management: a literature review. Int J Manag Decis Mak 17(1):75–94 Pouya AR, Solimanpur M, Rezaee MJ (2016) Solving multi-objective portfolio optimization problem using invasive weed optimization. Swarm Evol Comput 28:42–57 Wang X, Ning Y (2018) Uncertain chance-constrained programming model for project scheduling problem. J Oper Res Soc 69(3):384–391 Ertenlice O, Kalayci CB (2018) A survey of swarm intelligence for portfolio optimization: algorithms and applications. Swarm Evol Comput 39:36–52 Meghwani SS, Thakur M (2017) Multi-criteria algorithms for portfolio optimization under practical constraints. Swarm Evol Comput 37:104–125 Hosseini MR, Martek I, Banihashemi S, Chan AP, Darko A, Tahmasebi M (2020) Distinguishing characteristics of corruption risks in Iranian construction projects: a weighted correlation network analysis. Sci Eng Ethics 26(1):205–231 Jeng DJF, Huang KH (2015) Strategic project portfolio selection for national research institutes. J Bus Res 68(11):2305–2311. https://doi.org/10.1016/j.jbusres.2015.06.016 Lifshits AA, Avdoshin SM (2016) Algorithms for project portfolio selection based on fuzzy multi-objective model. In: Emerging trends in information systems (pp. 65–77). Springer International Publishing. https://doi.org/10.1007/978-3-319-23929-3_6 Ghassemi A, Amalnick M (2018) NPD project portfolio selection using reinvestment strategy in competitive environment. Int J Ind Eng Comput 9(1):47–62. https://doi.org/10.5267/j.ijiec.2017.5.001 Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA (2015) Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA Psychiatr 72(6):603–611 Wang B, Song Y (2016) Reinvestment strategy-based project portfolio selection and scheduling with time-dependent budget limit considering time value of capital. In: Proceedings of the 2015 international conference on electrical and information technologies for rail transportation. Springer, Berlin, Heidelberg, pp 373–381 Schaeffer N, Jault D, Nataf HC, Fournier A (2017) Turbulent geodynamo simulations: a leap towards Earth’s core. Geophys J Int 211(1):1–29 Li Z, Janardhanan MN, Tang Q, Nielsen P (2018) Mathematical model and metaheuristics for simultaneous balancing and sequencing of a robotic mixed-model assembly line. Eng Optimiz 50(5):877–893 Kester L, Griffin A, Hultink EJ, Lauche K (2011) Exploring portfolio decision making processes. J Prod Innov Manag 28:641–661 Martinsuo M, Korhonen T, Laine T (2014) Identifying, framing and managing uncertainties in project portfolios. Int J Proj Manag 32(5):732–746 Perez F, Gomez T, Caballero R, Liern V (2018) Project portfolio selection and planning with fuzzy constraints. Technol Forecast Soc Chang 131:117–129. https://doi.org/10.1016/j.techfore.2017.07.012 Paquin JP, Gauthier C, Morin PP (2016) The downside risk of project portfolios: the impact of capital investment projects and the value of project efficiency and project risk management programmes. Int J Project Manag 34(8):1460–1470 Hofman M, Spalek S, Grela G (2017) Shedding new light on project portfolio risk management. Sustainability 9(10):1798 Barghi B, Shadrokh Sikari S (2020) Qualitative and quantitative project risk assessment using a hybrid PMBOK model developed under uncertainty conditions. Heliyon 6(1):e03097 Micán C, Fernandes G, Araújo M (2020) Project portfolio risk management: a structured literature review with future directions for research. Int J Info Syst Proj Manag 8(3):67–84 Hillson D (1999) Developing effective risk responses. In: Proceedings of the 30th annual project management institute seminars & symposium, Philadelphia, PA. Qazi A, Quigley J, Dickson A, Kirytopoulos K (2016) Project complexity and risk management (ProCRiM): towards modeling project complexity driven risk paths in construction projects. Int J Proj Manag 34(7):1183–1198 Zhang Y, Fan Z-P (2014) an optimization method for selecting project risk response strategies. Int J Project Manag 32(3):412–422 Zhang X, Fang L, Hipel KW, Ding S, Tan Y (2020) A hybrid project portfolio selection procedure with historical performance consideration. Expert Syst Appl 142:113003 Zhang Y (2016) Selecting risk response strategies considering project risk interdependence. Int J Proj Manag 34(5):819–830 Golmohammadi A, Pajoutan M (2011) Meta heuristics for dependent portfolio selection problem considering risk. Expert Syst Appl 38:5642–5649. https://doi.org/10.1016/j.eswa.2010.10.071 Kettunen J, Salo A (2017) Estimation of downside risks in project portfolio selection. Prod Oper Manag 26(10):1839–1853 Paquin RS, Keating DM (2017) Fitting identity in the reasoned action framework: a meta-analysis and model comparison. J Soc Psychol 157(1):47–63 Khalili-Damghani K, Sadi-Nezhad S, Tavana M (2013) Solving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relation. Inf Sci 252:42–61 Yang F, Song S, Huang W, Xia Q (2015) SMAA-PO: project portfolio optimization problems based on stochastic multi-criteria acceptability analysis. Ann Oper Res 233(1):535–547. https://doi.org/10.1007/s10479-014-1583-9 Tofighian AA, Moezzi H, Barfuei MK, Shafiee M (2018) Multi-period project portfolio selection under risk considerations and stochastic income. J Ind Eng Int 14(3):571–584. https://doi.org/10.1007/s40092-017-0242-6 Mousavi SM, Vahdani B, Hashemi H, Ebrahimnejad S (2015) An artificial intelligence model based locally linear neuro-fuzzy for construction project selection. J Mult-Valued Logic Soft Comput 25(6):589–604 Lukovac V, Pamučar D, Popović M, Đorović B (2017) Portfolio model for analyzing human resources: an approach based on neuro-fuzzy modeling and the simulated annealing algorithm. Expert Syst Appl 90:318–331. https://doi.org/10.1016/j.eswa.2017.08.034 Mohagheghi V, Mousavi SM (2019) A new framework for high-technology project evaluation and project portfolio selection based on Pythagorean fuzzy WASPAS, MOORA and mathematical modeling. Iran J Fuzzy Syst 16(6):89–106. https://doi.org/10.22111/ijfs.2019.5022 Mohagheghi V, Mousavi SM (2019) An analysis approach to handle uncertain multi-criteria group decision problems in the framework of interval type-2 fuzzy sets theory. Neural Comput Appl 31(8):3543–3557 Mathuria P, Bhakar R, Li F (2015) GenCo’s optimal power portfolio selection under emission price risk. Electr Power Syst Res 121:279–286. https://doi.org/10.1016/j.epsr.2014.11.006 Montajabiha M, Khamseh AA, Afshar-Nadjafi B (2017) A robust algorithm for project portfolio selection problem using real options valuation. Int J Manag Proj Bus. https://doi.org/10.1108/IJMPB-12-2015-0114 Montajabiha MAHSA, Arshadi Khamseh AR, Afshar-Nadjafi B (2017) Research and development project portfolio selection based on compound real options approach and robust combinatorial optimization. J Oper Res Appl (Appl Math)-Lahijan Azad Univ 14(1):39–62 Cui T, Bai R, Ding S, Parkes AJ, Qu R, He F, Li J (2020) A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. Soft Comput 24(4):2809–2831 Tavana M, Shiraz RK, Di Caprio D (2019) A chance-constrained portfolio selection model with random-rough variables. Neural Comput Appl 31(2):931–945 Eshghi A, Mousavi SM, Mohagheghi V (2019) A new interval type-2 fuzzy approach for analyzing and monitoring the performance of megaprojects based on earned value analysis (with a case study). Neural Comput Appl 31(9):5109–5133 Mohagheghi V, Mousavi SM, Vahdani B, Shahriari MR (2017) R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach. Neural Comput Appl 28(12):3869–3888 Yasoda K, Ponmagal RS, Bhuvaneshwari KS, Venkatachalam K (2020) Automatic detection and classification of EEG artifacts using fuzzy kernel SVM and wavelet ICA (WICA). Soft Comput 24(21):16011–16019 Alizadeh A, Yousefi S (2019) An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem. Neural Comput Appl 31(11):7595–7614 Jangirala S, Das AK, Vasilakos AV (2019) Designing secure lightweight blockchain-enabled RFID-based authentication protocol for supply chains in 5G mobile edge computing environment. IEEE Trans Ind Inf 16(11):7081–7093 Xu X, Lu Q, Liu Y, Zhu L, Yao H, Vasilakos AV (2019) Designing blockchain-based applications a case study for imported product traceability. Futur Gener Comput Syst 92:399–406 Yang H, Yuan J, Li C, Zhao G, Sun Z, Yao Q, Bao B, Vasilakos AV, Zhang J (2021) BrainIoT: brain-like productive services provisioning with federated learning in industrial IoT. IEEE Internet Things J 9(3):2014–2024 Song F, Ai Z, Zhang H, You I, Li S (2020) Smart collaborative balancing for dependable network components in cyber-physical systems. IEEE Trans Industr Inf 17(10):6916–6924 Gholizadeh H, Fazlollahtabar H (2021) Analysis of new product development between product innovation and product financial performance assessment: a case of Doosheh dairy company. Environ Dev Sustain 23(12):18556–18581 Zadeh LA (1988) Fuzzy logic. Computer 21(4):83–93 Ali SM, Paul SK, Chowdhury P, Agarwal R, Fathollahi-Fard AM, Jabbour CJC, Luthra S (2021) Modelling of supply chain disruption analytics using an integrated approach: an emerging economy example. Expert Syst Appl 173:114690 Fallahpour A, Nayeri S, Sheikhalishahi M, Wong KY, Tian G, Fathollahi-Fard AM (2021) A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-12491-y Chang D-Y (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95(3):649–655 Hwang CL, Yoon K (1981) Methods for multiple attribute decision making. In: Multiple attribute decision making (pp. 58–191). Springer, Berlin, Heidelberg. Khoei MA, Aria SS, Gholizadeh H, Goh M, Cheikhrouhou N (2022) Big data-driven optimization for sustainable reverse logistics network design. J Ambient Intell Humaniz Comput 1–16 Gholizadeh H, Tajdin A, Javadian N (2020) A closed-loop supply chain robust optimization for disposable appliances. Neural Comput Appl 32(8):3967–3985 Gholizadeh H, Fazlollahtabar H, Khalilzadeh M (2020) A robust fuzzy stochastic programming for sustainable procurement and logistics under hybrid uncertainty using big data. J Clean Prod 258:120640 Govindan K, Gholizadeh H (2021) Robust network design for sustainable-resilient reverse logistics network using big data: a case study of end-of-life vehicles. Transp Res Part E Logist Transp Rev 149:102279 Mulvey JM, Vanderbei RJ, Zenios SA (1995) Robust optimization of large-scale systems. Oper Res 43(2):264–281 Mulvey JM, Ruszczyński A (1995) A new scenario decomposition method for large-scale stochastic optimization. Oper Res 43(3):477–490 Gholizadeh H, Fazlollahtabar H (2020) Robust optimization and modified genetic algorithm for a closed loop green supply chain under uncertainty: case study in melting industry. Comput Ind Eng 147:106653 Gholizadeh H, Goh M, Fazlollahtabar H, Mamashli Z (2022) Modelling uncertainty in sustainable-green integrated reverse logistics network using metaheuristics optimization. Comput Ind Eng 163:107828 Razavi N, Gholizadeh H, Nayeria S, Ashrafi TA (2021) A robust optimization model of the field hospitals in the sustainable blood supply chain in crisis logistics. J Oper Res Soc 72(12):2804–2828 Zhang C, Yang Y, Bramerdorfer G, Bianchi N, Zhao J, Qu J, Zhang S (2022) A computationally efficient surrogate model based robust optimization for permanent magnet synchronous machines. IEEE Trans Energy Convers. https://doi.org/10.1109/TEC.2021.3140096 Mercangöz BA, Badar AQ (2021) Optimal portfolio selection with particle swarm algorithm: an application on BIST-30. In: Applying particle swarm optimization (pp. 155–167). Springer, Cham Nayeri S,Asadi-Gangraj E, Emami S (2019) Metaheuristic algorithms to allocate and schedule of the rescue units in the natural disaster with fatigue effect. Neural Comput Appl 31(11):7517–7537