References:
1. Cleland, D. and Ireland, L., Project Management: Strategic Design and Implementation, New York: Mc- Graw Hill (2002).
2. Carlsson, C., Fuller, R., Heikkila, M., and Majlender, P. A fuzzy approach to R&D project portfolio selection", International Journal of Approximate Reasoning, 44(2), pp. 93{105 (2007). 3. Chen, T., Zhang, J., and Lai, K. An integrated real options evaluating model for information technology projects under multiple risks", International Journal of Project Management, 27(8), pp. 776{786 (2009). 4. Armaneri, O., Ozdagoglu, G., and Yal_cinkaya, O. An integrated decision support approach for project investors in risky and uncertain environments", Journal of Computational and Applied Mathematics, 234(8), pp. 2530{2542 (2010). 5. Zhang, W.G., Me, Q., Lu, Q., and Xiao, W.L. Evaluating methods of investment project and optimizing models of portfolio selection in fuzzy uncertainty", Computers and Industrial Engineering, 61(3), pp. 721{ 728 (2011). 6.
Hana_zadeh, P. and Latif, V. Robust net present value", Mathematical and Computer Modelling, 54(1{ 2), pp. 233{242 (2011).7. Wang, J. and Hwang, W.L. A fuzzy set approach for R&D portfolio selection using a real options valuation model", Omega, 35(3), pp. 247{257 (2007). 8. Zuojun, P., Yuhong, C., and Lei, S. Applied research on improved fuzzy chance-constrained model in engineering project comparison and selection", Procedia Engineering, 12(1), pp. 184{190 (2011).9.
Ebrahimnejad, S., Mousavi, S., Tavakkoli- Moghaddam, R., Hashemi, H., and Vahdani, B. A novel two-phase group decision making approach for construction project selection in a fuzzy environment", Applied Mathematical Modelling, 36(9), pp. 4197{4217 (2011). 10. Chiang, T.A. and Che, Z.H. A fuzzy robust evaluation model for selecting and ranking NPD projects using Bayesian belief network and weight-restricted DEA", 468 H. Mokhtari et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 448{468 Expert Systems with Applications, 37(11), pp. 7408{ 7418 (2010). 11. Shakhsi-Niaei, M., Torabi, S., and Iranmanesh, S. A comprehensive framework for project selection problem under uncertainty and real-world constraints", Computers & Industrial Engineering, 61(1), pp. 226{ 237 (2011). 12. Huang, X. Optimal project selection with random fuzzy parameters", International Journal Production Economics, 106(2), pp. 513{522 (2007). 13. Naimi Sadigh, A. Mokhtari, H., Iranpoor, M., and Ghomi, S.M.T. Cardinality constrained portfolio optimization using a hybrid approach based on particle swarm optimization and Hop_eld neural network", Advanced Science Letters, 17(1), pp. 11{20 (2012). 14. Salmasnia, A., Mokhtari, H., and Abadi, I.N.K. A robust scheduling of projects with time, cost, and quality considerations", The International Journal of Advanced Manufacturing Technology, 60(5{8), pp. 631{642 (2012). 15. Liu, M. and Wu, F.F. Portfolio optimization in electricity markets", Electric Power Systems Research, 77(8), pp. 1000{1009 (2007). 16. Afshar-Nadja_, B., Parsanejad, A., Hajipour, V., and Nobari, A. Solution procedure for generalized resource investment problem with discounted cash ows and progress payment", Scientia Iranica, 21(6), pp. 2436{2447 (2014). 17. R_ebiasz, B. and Macio l, A. Comparison of classical multi-criteria decision amking methods with fuzzy rule-based methods on the example of investment projects evaluation", In Intelligent Decision Technologies, pp. 549{561, Springer, Cham (2015). 18. Dai, C.Y., Wang, Y.X., Li, D., and Zhou, Y.L. Renewable energy investment project evaluation model based on improved real option", In Low-carbon City and New-type Urbanization, pp. 43{53, Springer, Berlin, Heidelberg (2015). 19. Kilic, M. and Kaya, _I. Investment project evaluation by a decision making methodology based on type-2 fuzzy sets", Applied Soft Computing, 27(1), pp. 399{ 410 (2015). 20. Kirkwood, L., Shehab, E., Baguley, P., and Starr, A. Uncertainty of net present value calculations and the impact on applying integrated maintenance approaches to the UK rail industry", Procedia CIRP, 38(1), pp. 245{249 (2015). 21. Tabrizi, B.H., Torabi, S.A., and Ghaderi, S.F. A novel project portfolio selection framework: An application of fuzzy DEMATEL and multi-choice goal programming", Scientia Iranica, 23(6), pp. 2945{2958 (2016). 22. Fathallahi, F. and Naja, A.A. A hybrid genetic algorithm to maximize net present value of project cash ows in resource-constrained project scheduling problem with fuzzy parameters", Scientia Iranica, 23(4), pp. 1893{1903 (2016). 23. Dutta, G. and Ashtekar, M. A system dynamics simulation model of a blast furnace for project evaluation", International Journal of Business and Systems Research, 11(3), pp. 325{343 (2017). 24. Etemadi, S., Koosha, H., and Salari, M. A goal programming capital budgeting model under uncertainty in construction industry", Scientia Iranica, 25(2), pp. 841{851 (2018). 25. Mohagheghi, V., Mousavi, S.M., Vahdani, B., and Shahriari, M.R. R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach", Neural Computing and Applications, 28(12), pp. 3869{3888 (2017). 26. Awasthi, A. and Omrani, H. A scenario simulation approach for sustainable mobility project evaluation based on fuzzy cognitive maps", International Journal of Modelling and Simulation, 38(4), pp. 1{11 (2018). 27. Montgomery, D.C. and Runger, G.C., Applied Statistics and Probability for Engineers, New York: John Wiley and Sons (2010). 28. Ross, S., A First Course in Probability, 7th Ed. Upper Saddle River, NJ: Pearson (2005).
)
