1. Ali, E. B., Agyekum, E. B., & Adadi, P. (2021). Agriculture for sustainable development: A SWOT-AHP assessment of Ghana’s planting for food and jobs initiative. Sustainability, 13(2), p.628. https://doi.org/10.3390/su13020628
2. Allcott, H., & Keniston, D. (2018). Dutch disease or agglomeration? The local economic effects
of natural resource booms in modern America. The Review of Economic Studies, 85(2), pp. 695-731. https://doi.org/10.1093/restud/rdx042
3. Ansari, Z. N., Kant, R., & Shankar, R. (2020). Evaluation and ranking of solutions to mitigate sustainable remanufacturing supply chain risks: a hybrid fuzzy SWARA-fuzzy COPRAS framework approach. International Journal of Sustainable Engineering, 13(6), pp. 473-494. https://doi.org/10.1080/19397038.2020.1758973
4. Arif, A., Sadiq, M., Shabbir, M. S., Yahya, G., Zamir, A., & Bares Lopez, L. (2020). The role of globalization in financial development, trade openness and sustainable environmental-economic growth: evidence from selected South Asian economies. Journal of Sustainable Finance & Investment, 1(1), pp. 1-18. https://doi.org/10.1080/20430795.2020.1861865
5. Balali, H., Saadi, H., & Ghazvineh, S. (2015). Investment prioritizing of food and agricultural processing industries (case study: Hamedan County). Journal of Research and Rural Planning, 4(1), pp. 149-159. https://doi.org/10.22067/jrrp.v4i9.34997
6. Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, pp. 337-347. https://doi.org/10.1016/j.cor.2016.02.015
7. Behzad, M., Zolfani, S. H., Pamucar, D., & Behzad, M. (2020). A comparative assessment of solid waste management performance in the Nordic countries based on BWM-EDAS. Journal of Cleaner Production, 266, A. 122008. https://doi.org/10.1016/j.jclepro.2020.122008
8. Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations research, 52(1), pp. 35-53. https://doi.org/10.1287/opre.1030.0065
9. Caplan, L., Griswold, J. S., & Jarvis, W. F. (2013). From SRI to ESG: The Changing World of Responsible Investing. Commonfund Institute, 1(1), pp. 1-22. https://doi.org/10.1111/beer.12588
10. Castilho, D., Gama, J., Mundim, L. R., & de Carvalho, A. C. (2019). Improving portfolio optimization using weighted link prediction in dynamic stock networks. In Computational Science–ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III 19 (pp. 340-353). Springer International Publishing.
11. Cesarone, F., Scozzari, A., & Tardella, F. (2020). An optimization–diversification approach to portfolio selection. Journal of Global Optimization, 76(2), pp. 245-265.
12. Couture, T., & Gagnon, Y. (2010). An analysis of feed-in tariff remuneration models: Implications for renewable energy investment. Energy policy, 38(2), pp. 955-965.
13. Darmian, S. M., & Farughi, H. (2022). An optimization-based approach for managing downstream logistic operations: A real application in pandemic outbreak conditions. Computers & Industrial Engineering, 171, A. 108495. https://doi.org/10.1016/j.cie.2022.108495
14. Darmian, S. M., Fattahi, M., & Keyvanshokooh, E. (2021). An optimization-based approach for the healthcare districting under uncertainty. Computers & Operations Research, 135, A. 105425. https://doi.org/10.1016/j.cor.2021.105425
15. Doaei, M., & saberfard, M. (2021). A chance constrained recourse approach for the portfolio selection problem in the Iran capital market. Financial Engineering and Portfolio Management, 12(46), pp. 667-690.
16. Doaei, M., Mirzaei, S. A., & Rafigh, M. (2021). Hybrid Multilayer Perceptron Neural Network with Grey Wolf Optimization for Predicting Stock Market Index. Advances in Mathematical Finance and Applications, 6(4), pp. 883-894. https://doi.org/10.22034/amfa.2021.1903474.1452
17. Farughi, H., & Mostafayi, S. (2016). Robust Optimization Approach for Design for a Dynamic Cell Formation Considering Labor Utilization: Bi-objective Mathematical Model. International Journal of Supply and Operations Management, 3(1), pp. 1143-1167.
18. Farughi, H., & Mostafayi, S. (2017). A hybrid approach based on ANP, ELECTRE and SIMANP metaheuristic method for outsourcing manufacturing procedures according to supply chain risks-Case study: A medical equipment manufacturer company in Iran. Decision Science Letters, 6(1),pp. 77-94.
19. Farughi, H., Dolatabadiaa, M., Moradi, V., Karbasi, V., & Mostafayi, S. (2017). Minimizing the number of tool switches in flexible manufacturing cells subject to tools reliability using genetic algorithm. Journal of Industrial and Systems Engineering, 10 (special issue on Quality Control and Reliability), pp. 17-33.
20. Ferneini, E. M. (2020). The financial impact of COVID-19 on our practice. Journal of Oral and Maxillofacial Surgery, 78(7), pp. 1047-1048.
21. Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations. Archives of Civil and Mechanical Engineering, 18, pp. 32-49.
22. Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Turskis, Z. (2016). Extended EDAS method for fuzzy multi-criteria decision-making: an application to supplier selection. International Journal of Computers Communications & control, 11(3), pp. 358-371.
23. Gudo, A. J. A., Deng, J., Belete, M., & Abubakar, G. A. (2020). Estimation of Small Onshore Wind Power Development for Poverty Reduction in Jubek State, South Sudan, Africa. Sustainability, 12(4), A. 1483.
24. Ho, W.-R. J., Tsai, C.-L., Tzeng, G.-H., & Fang, S.-K. (2011). Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM. Expert systems with applications, 38(1), pp. 16-25.
25. Kahraman, Y. R. (2002). Robust sensitivity analysis for multi-attribute deterministic hierarchical value models. Biblioscholar.
26. Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), pp. 243-258.
27. Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), pp. 435-451.
28. Khodaverdizadeh, M., & Mohammadi, S. (2016). Determination of Market Structure and Ranking Target Markets of Iran's Export of Medicinal Plants. Journal of Applied Economics Studies in Iran, 5(20), pp. 201-220.
29. Kisman, Z., & Krisandi, D. (2019). How to predict financial distress in the wholesale sector: Lesson from Indonesian Stock Exchange. Journal of Economics and Business, 2(3), pp. 1-22.
30. Kou, G., Ergu, D., Lin, C., & Chen, Y. (2016). Pairwise comparison matrix in multiple criteria decision making. Technological and economic development of economy, 22(5), pp. 738-765.
31. Kou, G., Peng, Y., & Wang, G. (2014). Evaluation of clustering algorithms for financial risk analysis using MCDM methods. Information Sciences, 275, pp. 1-12.
32. Li, N., & Zhao, H. (2016). Performance evaluation of eco-industrial thermal power plants by using fuzzy GRA-VIKOR and combination weighting techniques. Journal of Cleaner Production, 135, pp. 169-183.
33. Liza, M., & Morales Anaya, J. A. (2018). Export boom and economic performance: Bolivia 2004-2015. Universidad Católica Boliviana, La Paz, Bolivia
34. Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57, pp. 265-292.
35. Mkwanazi, S. (2018). Evaluating factors of government investment in new industrial parks. Journal of Emerging Trends in Economics and Management Sciences, 9(6), pp. 350-355.
36. Polat, G., & Bayhan, H. G. (2020). Selection of HVAC-AHU system supplier with environmental considerations using Fuzzy EDAS method. International Journal of Construction Management, 1(1), pp. 1-9.
37. Popkova, E. G., Bogoviz, A. V., Ragulina, Y. V., & Alekseev, A. N. (2018). Perspective model of activation of economic growth in modern Russia Management of Changes in Socio-Economic Systems (pp. 171-177): Springer.
38. Rahiminezhad Galankashi, M., Mokhatab Rafiei, F., & Ghezelbash, M. (2020). Portfolio selection: a fuzzy-ANP approach. Financial Innovation, 6(1), p. 17. https://doi.org/10.1186/s40854-020-00175-4
39. Rais, M., Acharya, S., & Sharma, N. (2013). Food processing industry in India: S&T capability, skills and employment opportunities. J Food Process Technol, 4(9), pp. 1-13.
40. Ram, C., & Montibeller, G. (2013). Exploring the impact of evaluating strategic options in a scenario-based multi-criteria framework. Technological Forecasting and Social Change, 80(4), pp. 657-672.
41. Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, pp. 49-57.
42. Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, pp. 126-130.
43. Shabbir, M. S., & Wisdom, O. (2020). The relationship between corporate social responsibility, environmental investments and financial performance: evidence from manufacturing companies. Environmental Science and Pollution Research, 1(1), pp. 1-12.
44. Soyster, A. L. (1973). Convex programming with set-inclusive constraints and applications to inexact linear programming. Operations Research, 21(5), pp. 1154-1157.
45. Stanković, J. Z., Petrović, E., & Denčić-Mihajlov, K. (2020). Effects of applying different risk measures on the optimal portfolio selection: The case of the Belgrade stock exchange. Facta Universitatis, Series: Economics and Organization, pp. 017-026. https://doi.org/10.22190/FUEO191016002S
46. Stević, Ž., Vasiljević, M., Zavadskas, E. K., Sremac, S., & Turskis, Z. (2018). Selection of carpenter manufacturer using fuzzy EDAS method. Engineering Economics, 29(3), pp. 281-290.
47. Talan, G., & Sharma, G. D. (2019). Doing well by doing good: A systematic review and research agenda for sustainable investment. Sustainability, 11(2), p. 353.
48. Thoumi, F. E. (2009). Necessary, sufficient and contributory factors generating illegal economic activity, and specifically drug-related activity, in Colombia. Iberoamericana (2001-), 9(35), pp.105-126.
49. Vuković, M., Pivac, S., & Babić, Z. (2020). Comparative analysis of stock selection using a hybrid MCDM approach and modern portfolio theory. Croatian review of economic, business and social statistics, 6(2), pp. 58-68.
50. Xu, D., Ren, J., Dong, L., & Yang, Y. (2020). Portfolio selection of renewable energy-powered desalination systems with sustainability perspective: A novel MADM-based framework under data uncertainties. Journal of Cleaner Production, 275, A. 124114. https://doi.org/10.1016/j.jclepro.2020.124114
51. Yoshino, N., Taghizadeh-Hesary, F., & Otsuka, M. (2021). COVID-19 and optimal portfolio selection for investment in sustainable development goals. Finance research letters, 38, A. 101695. https://doi.org/10.1016/j.frl.2020.101695
