References:
1.World Health Organization, (June2019), https://www.who.int/news/item/18-06-2019-1-in-3-people-globally-do-not-have-access-to-safe-drinking-water-unicef-who.
2.Yousefi, S., Hipel, K.W., and Hegazy, T. “Attitude-based conflict management for resolving disputes overw ater quality of the seymareh river in Iran”. Scientia Iranica, 27(1), pp. 25–40 (2020). https://10.24200/sci.2018.20599.
3.Rajabpour, R., Talebbeydokhti, N., andRakhshandehroo, G.R. “Developing a new algorithm(G-JPSO) for optimal control of pumps in waterdistribution networks”, Scientia Iranica, 27(1), pp. 68–79 (2020). https://10.24200/sci.2018.20703.
4.Kalantari, K., Maknoon, R., and Karimi, D.“Developing sustainable legal framework for theestablishment of integrated water resourcesmanagement in Iran”, International Journal ofEnvironmental Research, 12(2), pp. 223–231 (2018).https://DOI:org/10.1007/s41742-018-0071-5.
5.Fan, L., Liu, G., Wang, F., et al. “Factors affectingdomestic water consumption in rural households uponaccess to improved water supply: Insights from the WeiRiver Basin, China”, PloS One, 8(8), pp. 1-9 (2013).https://doi.org/10.1371/journal.pone.0071977.
6.Alvisi, S., Franchini, M., Luciani, C., et al. “Effects ofthe COVID-19 Lockdown on Water Consumptions:Northern Italy Case Study”, Journal of WaterResources Planning and Management, 147(11), pp. 1-10 (2021). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001481.
7.Tavakoli, M., Tavakkoli-Moghaddam, R., Mesbahi, R.,et al. “Simulation of the COVID-19 patient flow andinvestigation of the future patient arrival using a time-series prediction model: a real-case study”, Medicaland Biological Engineering and Computing, 60(4), pp.969–990 (2022). https://doi.org/10.1007/s11517-022-02525-z.
8.Nazari, B., Liaghat, A., Akbari, M.R., et al. “Irrigationwater management in Iran: Implications for water useefficiency improvement”, Agricultural WaterManagement, 208, pp.7–18 (2018).https://doi.org/10.1016/j.agwat.2018.06.003.
9.Fanteso, B. and Yessoufou, K. “Diversity anddeterminants of traditional water conservationtechnologies in the Eastern Cape Province, SouthAfrica”, Environmental Monitoring and Assessment,194(3), pp. 161-194 (2022). https://doi.org/10.1007/s10661-022-09848-2.
10.Zambrano-Monserrate, M.A., Ruano, M.A., andSanchez-Alcalde, L. “Indirect effects of COVID-19 onthe environment”, Science of the Total Environment,728(5), pp. 1-5 (2020).https://doi.org/10.1016/j.scitotenv.2020.138813.
11.Feizabadi, Y. and Gorji, E.M. “Analysis of effectivefactors on agricultural water management in Iran”,Journal of Water and Land Development, 38(1), pp.35–41 (2018). http://dx.doi.org/10.2478/jwld-2018-0040.
12.Cahill, J., Hoolohan, C., Lawson, R., et al. ``COVID-19 and water demand: A review of literature andresearch evidence’’, Wiley Interdisciplinary Reviews:Water, 9(1), pp. 1–15 (2022).https://doi.org/10.1002/wat2.1570.
13.Saatsaz, M. “A historical investigation on waterresources management in Iran”, Environment,Development and Sustainability, 22(3), pp. 1749-1785(2020).https://doi.org/10.1007/s10668-018-00307-y.
14.Matheri, A.N., Belaid, M., Njenga, C.K., et al. “Waterand wastewater digital surveillance for monitoring andearly detection of the COVID-19 hotspot: industry4.0”, International Journal of Environmental Scienceand Technology, 20, pp. 1095-1112 (2022). https://doi.org/10.1007/s13762-022-03982-7.
15.Rezayan, A. and Rezayan, A.H. “Future studies ofwater crisis in Iran based on processing scenario”,Iranian Journal of Ecohydrology, 3(1), pp. 1-17 (2016). 16.Iran’s Water Research Center, (2020).https://www.isna.ir/news/99012615309.
17.Esmaeili, A., Kahnali, R.A., Rostamzadeh, R., et al.“The formulation of organizational strategies throughintegration of freeman model, SWOT, and fuzzyMCDM methods: A case study of oil industry”,Transformations in Business and Economics, 13(3C),pp. 602–627 (2014). https://bit.ly/3Q1Ygk6.
18.Solangi, Y.A., Tan, Q., Mirjat, N.H., et al. “Evaluatingthe strategies for sustainable energy planning inPakistan: An integrated SWOT-AHP and Fuzzy-TOPSIS approach”, Journal of Cleaner Production,236, (2019).https://doi.org/10.1016/j.jclepro.2019.117655.
19.Goli, I., Azadi, H., Nooripoor, M., et al. “Evaluating theproductivity of paddy water resources through swotanalysis: The case of northern iran”, Water(Switzerland), 13(21), pp. 1–21 (2021).https://doi.org/10.3390/w13212964.
20.Gani, A., Bhanot, N., Talib, F., et al. “An integratedDEMATEL-MMDE-ISM approach for analyzingenvironmental sustainability indicators in MSMEs”,Environmental Science and Pollution Research, 29(2),pp. 2035–2051 (2022). https://doi.org/10.1007/s11356-021-15194-6.
21.Tabrizi, B.H., Torabi, S.A., and Ghaderi, S.F. “A novelproject portfolio selection framework: An applicationof fuzzy DEMATEL and multi-choice goalprogramming”, Scientia Iranica, 23(6), pp. 29-45(2016). DOI: 10.24200/sci.2016.4004.
22.Amirghodsi, S., Naeini, A.B., and Makui, A. “A dualmodel for selecting technology and technology transfermethod using a combination of the Best-Worst Method(BWM) and goal programing”, Scientia Iranica, 29(5),pp. 2628-2646 (2020).
https://10.24200/sci.2020.53925.3511.
23.Hadizadeh, F., Allahyari, M.S., Damalas, C.A., et al.“Integrated management of agricultural waterresources among paddy farmers in northern Iran”,Agricultural Water Management, 200, pp. 19–26(2018). https://doi.org/10.1016/j.agwat.2017.12.031.
24.Babamiri, A.S., Pishvaee, M.S., andMirzamohammadi, S. “The analysis of financiallysustainable management strategies of urban waterdistribution network under increasing block tariffstructure: A system dynamics approach”, SustainableCities and Society, 60, pp. 152-192 (2020).https://doi.org/10.1016/j.scs.2020.102193.
25.Chitsaz, N. and Azarnivand, A. “Water scarcitymanagement in arid regions based on an extendedmultiple criteria technique”, Water ResourcesManagement, 31(1), pp. 233–250 (2017).https://doi.org/10.1007/s11269-016-1521-5.
26.Damani, A.R. and Hashmi, S.A. “Strategic analysis ofwater resource management in the iranshahr city usingSWOT model”, Palma Journal, 6(3.2), pp. 436-446(2017). https://10.24200/sci.2020.53925.3511.
27.Petousi, I., Fountoulakis, M., Papadaki, A., et al.“Assessment of water management measures throughSWOT analysis: the case of Crete Island, Greece”,International Journal of Education and LearningSystems, 2, pp. 59-62 (2017). https://www.mediwat.eu/sites/default/files/D.
28.Banihabib, M.E. and Shabestari, M.H. “Fuzzy hybridMCDM model for ranking the agricultural waterdemand management strategies in arid areas”, WaterResources Management, 31(1), pp. 495–513 (2017).https://doi.org/10.1007/s11269-016-1544-y.
29.Nazari, B., Liaghat, A., Akbari, M.R., et al “Irrigationwater management in Iran: Implications for water useefficiency improvement”, Agricultural WaterManagement, 208, pp. 7–18 (2018).https://doi.org/10.1016/j.agwat.2018.06.003.
30.de Castro-Pardo, M., Martínez, P. F., Zabaleta, A. P., etal. “Dealing with water conflicts: A comprehensivereview of mcdm approaches to manage freshwaterecosystem services”, Land, 10(5), pp. 1–32 (2021).https://doi.org/10.3390/land10050469.
31.Yang, Z., Wang, Y., and Peng, T. “Uncertaintypropagation and risk analysis oriented stochastic multi-criteria decision making for unconventional waterresources management”, Journal of Hydrology,595(January) (2021). https://doi.org/10.1016/j.jhydrol.2021.126019.
32.Akbari, M., Memarian, H., Neamatollahi, E., et al.“Prioritizing policies and strategies for desertificationrisk management using MCDM–DPSIR approach in northeastern Iran” , Environment, Development and Sustainability, 23(2), pp. 2503–2523 (2021). https://doi.org/10.1007/s10668-020-00684-3.
33.Rubio-Aliaga, A., García-Cascales, M.S., Sánchez-Lozano, J.M., “A. MCDM-based multidimensionalapproach for selection of optimal groundwaterpumping systems: Design and case example”,Renewable Energy, 163, pp. 213–224 (2021).https://doi.org/10.1016/j.renene.2020.08.079.
34.Gürel, E. and Tat, M. “SWOT analysis: A theoreticalreview”, Journal of International Social Research,10(51), (2017). http://dx.doi.org/10.17719/jisr.2017.1832.
35.Lin, C.-J. and Wu, W.-W. “A causal analytical methodfor group decision-making under fuzzy environment”,Expert Systems with Applications, 34(1), pp. 205–213(2008).https://doi.org/10.1016/j.eswa.2006.08.012.
36.Guo, S. and Zhao, H. “Fuzzy best-worst multi-criteriadecision-making method and its applications”,Knowledge-Based Systems, 121, pp. 23–31 (2017).https://doi.org/10.1016/j.knosys.2017.01.010.
37.Asan, U., Soyer, A., and Serdarasan, S. “A fuzzyanalytic network process approach”, ComputationalIntelligence Systems in Industrial Engineering, pp.155–179 (2012). https://doi.org/10.2991/978-94-91216-77-0-8.
38.Akbari, M., Meshram, S.G., Krishna, R.S., et al.“Identification of the Groundwater potential rechargezones using MCDM models: Full consistency, method(FUCOM), Best Worst Method (BWM) and AnalyticHierarchy Process (AHP)”, Water ResourcesManagement, 35(14), pp. 4727–4745 (2021). https://doi.org/10.1007/s11269-021-02924-1.
39.Musani, S. and Jemain, A.A. “Ranking schools’ academic performance using a fuzzy VIKOR”. Journalof Physics: Conference Series, 622, pp.1–10 (2015).https://ir.uitm.edu.my/id/eprint/59755.
40.Tavakoli, M., Mesbahi, R., Nayeri, S., et al. “Riskassessment of medical devices used for COVID-19patients based on a Markovian-based weighted failuremode effects analysis (WFMEA)”, Scientia Iranica,(2022). https://10.24200/sci.2022.57493.5266.
41.Sazvar, Z., Tavakoli, M., Ghanavati-Nejad, M., et al.“Sustainable-resilient supplier evaluation for high-consumption drugs during COVID-19 pandemic usinga data-driven decision-making approach”, ScientiaIranica, (2022). https://10.24200/sci.2022.59789.6424.