Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site

Abdi Z, Lega F, Ebeid N, Ravaghi H (2022) Role of hospital leadership in combating the COVID-19 pandemic. Health Serv Manage Res 35:2–6. https://doi.org/10.1177/09514848211035620 Alhaffar MHDBA, Janos S (2021) Public health consequences after ten years of the Syrian crisis: a literature review. Glob Health 17:111. https://doi.org/10.1186/s12992-021-00762-9 AlMoallem Z, Miftah M (2019) Persons with disability in Syria: challenges and solutions | KALU Institute (Disability in Syria). KALU Institute, Syria Alvarez PA, Ishizaka A, Martínez L (2021) Multiple-criteria decision-making sorting methods: A survey. Expert Syst Appl 183:115368. https://doi.org/10.1016/j.eswa.2021.1153684 Amiri MP (2010) Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Syst Appl 37:6218–6224. https://doi.org/10.1016/j.eswa.2010.02.103 Ashrafzadeh M, Rafiei FM, Isfahani NM, Zare Z (2012) Application of fuzzy TOPSIS method for the selection of warehouse location: a case study 3:18 Barron FH, Barrett BE (1996) Decision quality using ranked attribute weights. Manage Sci 42:1515–1523. https://doi.org/10.1287/mnsc.42.11.1515 Benítez JM, Martín JC, Román C (2007) Using fuzzy number for measuring quality of service in the hotel industry. Tour Manage 28:544–555. https://doi.org/10.1016/j.tourman.2006.04.018 Bozdağ CE, Kahraman C, Ruan D (2003) Fuzzy group decision making for selection among computer integrated manufacturing systems. Comput Ind 51:13–29. https://doi.org/10.1016/S0166-3615(03)00029-0 Büyüközkan G, Ruan D (2008) Evaluation of software development projects using a fuzzy multi-criteria decision approach. Math Comput Simul Intell Sens Eval Concepts Implement Appl 77:464–475. https://doi.org/10.1016/j.matcom.2007.11.015 Byun HS, Lee KH (2005) A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method. Int J Adv Manuf Technol 26:1338–1347. https://doi.org/10.1007/s00170-004-2099-2 Calabrese A, Costa R, Levialdi N, Menichini T (2019) Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues. Technol Forecast Soc Chang 139:155–168. https://doi.org/10.1016/j.techfore.2018.11.005 Çalık A (2021) A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Comput 25:2253–2265. https://doi.org/10.1007/s00500-020-05294-9 Chai J, Liu JNK, Ngai EWT (2013) Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Syst Appl 40:3872–3885. https://doi.org/10.1016/j.eswa.2012.12.040 Chen C-T (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114:1–9. https://doi.org/10.1016/S0165-0114(97)00377-1 Chen C-T, Lin C-T, Huang S-F (2006) A fuzzy approach for supplier evaluation and selection in supply chain management. Int J Prod Econ 102:289–301. https://doi.org/10.1016/j.ijpe.2005.03.009 Chen L, Pan W (2021) Review fuzzy multi-criteria decision-making in construction management using a network approach. Appl Soft Comput 102:107103. https://doi.org/10.1016/j.asoc.2021.107103 Chen S-J, Hwang C-L (1992) Fuzzy multiple attribute decision making methods, In: Chen S-J, Hwang C-L (eds.), Fuzzy multiple attribute decision making: methods and applications, lecture notes in economics and mathematical systems. Springer, Berlin, Heidelberg, pp. 289–486. https://doi.org/10.1007/978-3-642-46768-4_5 Choo EU, Schoner B, Wedley WC (1999) Interpretation of criteria weights in multicriteria decision making. Comput Ind Eng 37:527–541. https://doi.org/10.1016/S0360-8352(00)00019-X Chou T-Y, Hsu C-L, Chen M-C (2008) A fuzzy multi-criteria decision model for international tourist hotels location selection. Int J Hosp Manag 27:293–301. https://doi.org/10.1016/j.ijhm.2007.07.029 Chu T-C (2002) Selecting plant location via a fuzzy TOPSIS approach. Int J Adv Manuf Technol 20:859–864. https://doi.org/10.1007/s001700200227 Cinelli M, Coles SR, Kirwan K (2014) Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecol Ind 46:138–148. https://doi.org/10.1016/j.ecolind.2014.06.011 Coello C, Jin Y, n.d. (2007) IEEE symposium on computational intelligence in multicriteria decision making Hilton Hawaiian Village Beach Resort & Spa. Dağdeviren M, Yavuz S, Kılınç N (2009) Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst Appl 36:8143–8151. https://doi.org/10.1016/j.eswa.2008.10.016 Dang VT, Wang J, Dang WV-T (2019) An integrated fuzzy AHP and fuzzy TOPSIS approach to assess sustainable urban development in an emerging economy. Int J Environ Res Public Health 16:2902. https://doi.org/10.3390/ijerph16162902 De Keyser A, Verleye K, Lemon K, Keiningham T, Klaus P (2020) Moving the customer experience field forward: introducing the touchpoints, context, qualities (TCQ) nomenclature. J Serv Res. https://doi.org/10.1177/1094670520928390 Dell’Ovo M, Capolongo S, Oppio A (2018) Combining spatial analysis with MCDA for the siting of healthcare facilities. Land Use Policy 76:634–644. https://doi.org/10.1016/j.landusepol.2018.02.044 Deng H, Yeh C-H, Willis RJ (2000) Inter-company comparison using modified TOPSIS with objective weights. Comput Oper Res 27:963–973. https://doi.org/10.1016/S0305-0548(99)00069-6 Diakoulaki D, Mavrotas G, Papayannakis L (1995) Determining objective weights in multiple criteria problems: The critic method. Comput Oper Res 22:763–770. https://doi.org/10.1016/0305-0548(94)00059-H Dikmen CF, Say T (2008) A MCDM approach for middlemen evaluation and selection in marketing. Serbian J Manag 3:5–15 Doğan A, Söylemez İs, Özcan U (2016) Green supplier selection by using fuzzy topsis method, In: Uncertainty modelling in knowledge engineering and decision making. Presented at the conference on uncertainty modelling in knowledge engineering and decision making (FLINS 2016), World Scientific, Roubaix, France, pp. 638–645. https://doi.org/10.1142/9789813146976_0101 Dožić S (2019) Multi-criteria decision making methods: application in the aviation industry. J Air Transp Manag 79:101683. https://doi.org/10.1016/j.jairtraman.2019.101683 Dutta P, Borah G (2021) Robot selection problem via fuzzy TOPSIS method using novel distance and similarity measure for generalized fuzzy numbers with unequal heights. New Math Nat Comput. https://doi.org/10.1142/S1793005722500338 Ebrahimnejad S, Mousavi SM, Seyrafianpour H (2010) Risk identification and assessment for build–operate–transfer projects: A fuzzy multi attribute decision making model. Expert Syst Appl 37:575–586. https://doi.org/10.1016/j.eswa.2009.05.037 Edwards W (1977) How to use multiattribute utility measurement for social decisionmaking. IEEE Trans Syst Man Cybern 7:326–340. https://doi.org/10.1109/TSMC.1977.4309720 Emami M, Nazari K, Fardmanesh H (2012) Application of fuzzy TOPSIS technique for strategic management decision 6. Erdin C, Akbaş HE (2019) A comparative analysis of fuzzy TOPSIS and geographic information systems (GIS) for the location selection of shopping malls: a case study from Turkey. Sustainability 11:3837. https://doi.org/10.3390/su11143837 Ertuğrul İ, Karakaşoğlu N (2008) Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. Int J Adv Manuf Technol 39:783–795. https://doi.org/10.1007/s00170-007-1249-8 Feng C-M, Wang R-T (2001) Considering the financial ratios on the performance evaluation of highway bus industry. Transp Rev 21:449–467. https://doi.org/10.1080/01441640010020304 Gershon M, Duckstein L (1983) Multiobjective approaches to river basin planning. J Water Resour Plan Manag 109:13–28. https://doi.org/10.1061/(ASCE)0733-9496(1983)109:1(13) Greco S, Figueira J, Ehrgott M (2016) Multiple criteria decision analysis. Springer, New York Gu X, Zhu Q (2006) Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space. Decis Support Syst 41:400–410 Hobbs BF, Horn GT (1997) Building public confidence in energy planning: a multimethod MCDM approach to demand-side planning at BC gas. Energy Policy, Model-based policy analysis 25:357–375. https://doi.org/10.1016/S0301-4215(97)00025-6 Hsieh T-Y, Lu S-T, Tzeng G-H (2004) Fuzzy MCDM approach for planning and design tenders selection in public office buildings. Int J Project Manage 22:573–584. https://doi.org/10.1016/j.ijproman.2004.01.002 Janic M (2003) Multicriteria evaluation of high-speed rail, transrapid maglev and air passenger transport in Europe. Transp Plan Technol 26:491–512. https://doi.org/10.1080/0308106032000167373 Jasiulewicz-Kaczmarek M, Antosz K, Wyczółkowski R, Mazurkiewicz D, Sun B, Qian C, Ren Y (2021) Application of MICMAC, Fuzzy AHP, and fuzzy TOPSIS for evaluation of the maintenance factors affecting sustainable manufacturing. Energies 14:1436. https://doi.org/10.3390/en14051436 Joshi R, Banwet DK, Shankar R (2011) A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain. Expert Syst Appl 38:10170–10182. https://doi.org/10.1016/j.eswa.2011.02.072 Kahraman C, Beskese A, Ruan D (2004) Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis. Inf Sci 168:77–94. https://doi.org/10.1016/j.ins.2003.11.004 Kahraman C, Onar SC, Oztaysi B (2015) Fuzzy multicriteria decision-making: a literature review. IJCIS 8:637. https://doi.org/10.1080/18756891.2015.1046325 Karande P, Chakraborty S (2012) Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Mater Des 37:317–324. https://doi.org/10.1016/j.matdes.2012.01.013 Kasim MM (2014) Determination of criteria weights in solving multi-criteria problems. AIP Conf Proc 1635:3–10. https://doi.org/10.1063/1.4903555 Kasim MM, n.d. Aggregation of criteria weights for multi-person decision making with equal or different credibility 7. Kavosi M, Mavi RK (2011) Fuzzy quality function deployment approach using TOPSIS and analytic hierarchy process methods. Int J Prod Quality Manag 7:304–324 Kaya İ, Çolak M, Terzi F (2019) A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energ Strat Rev 24:207–228. https://doi.org/10.1016/j.esr.2019.03.003 Kelemenis A, Askounis D (2010) A new TOPSIS-based multi-criteria approach to personnel selection. Expert Syst Appl 37:4999–5008. https://doi.org/10.1016/j.eswa.2009.12.013 Kiliç M, Kaya İ (2015) Investment project evaluation by a decision making methodology based on type-2 fuzzy sets. Appl Soft Comput 27:399–410. https://doi.org/10.1016/j.asoc.2014.11.028 Kloepffer W (2008) Life cycle sustainability assessment of products. Int J Life Cycle Assess 13:89. https://doi.org/10.1065/lca2008.02.376 Konstantinos I, Georgios T, Garyfalos A (2019) A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: case study in Eastern Macedonia and Thrace region, Greece. Energy Policy 132:232–246. https://doi.org/10.1016/j.enpol.2019.05.020 Krishnan AR, Aqilah SN, Kasim MM, Nazri EM, Char AK (2017) A revised procedure to identify λ0-measure values for applying Choquet integral in solving multi-attribute decision problems. Opsearch 54:637–650. https://doi.org/10.1007/s12597-017-0297-6 Kumar A, Wasan P, Luthra S, Dixit G (2020) Development of a framework for selecting a sustainable location of waste electrical and electronic equipment recycling plant in emerging economies. J Cleaner Prod 277:122645. https://doi.org/10.1016/j.jclepro.2020.122645 Kumar S, Kumar S, Barman AG (2018) Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit. Proc Comput Sci Int Conf Robot Smart Manuf 133:905–912. https://doi.org/10.1016/j.procs.2018.07.097 Li Y, Zobel CW (2020) Exploring supply chain network resilience in the presence of the ripple effect. Int J Prod Econ 228:107693. https://doi.org/10.1016/j.ijpe.2020.107693 Liang G-S (1999) Fuzzy MCDM based on ideal and anti-ideal concepts. Eur J Oper Res 112:682–691. https://doi.org/10.1016/S0377-2217(97)00410-4 Liao C-N, Lin C-H, Fu Y-K (2015) Integrative model for the selection of a new product launch strategy, based on ANP, TOPSIS and MCGP: a case study. Technol Econ Develop Econ 22:715–737. https://doi.org/10.3846/20294913.2015.1074951 Lin H-T, Chang W-L (2008) Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation. Eur J Oper Res 187:415–428. https://doi.org/10.1016/j.ejor.2007.03.003 Ma J, Fan Z-P, Huang L-H (1999) A subjective and objective integrated approach to determine attribute weights. Eur J Oper Res 112:397–404. https://doi.org/10.1016/S0377-2217(98)00141-6 Mardani A, Zavadskas EK, Streimikiene D, Jusoh A, Nor KMD, Khoshnoudi M (2016) Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: a new hierarchical framework. Energy 117:131–148. https://doi.org/10.1016/j.energy.2016.10.076 Mat Desa NH, Jemain AA, Mat Kasim M (2015) Construction of a composite hospital admission index using the aggregated weights of criteria. JSM 44:239–247. https://doi.org/10.17576/jsm-2015-4402-11 Milani AS, Shanian A, Madoliat R, Nemes JA (2005) The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection. Struct Multidisc Optim 29:312–318. https://doi.org/10.1007/s00158-004-0473-1 Mousavi-Nasab SH, Sotoudeh-Anvari A (2017) A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems. Mater Des 121:237–253. https://doi.org/10.1016/j.matdes.2017.02.041 Nadkarni RR, Puthuvayi B (2020) A comprehensive literature review of multi-criteria decision making methods in heritage buildings. J Build Eng 32:101814. https://doi.org/10.1016/j.jobe.2020.101814 Önüt S, Soner S (2008) Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Manage 28:1552–1559. https://doi.org/10.1016/j.wasman.2007.05.019 Özbek A (2015) Supplier selection with fuzzy TOPSIS 14 Ozernoy VM (1992) Choosing the “Best” multiple criterlv decision-making method. INFOR: Inf Syst Oper Res 30:159–171. https://doi.org/10.1080/03155986.1992.11732192 Patil SK, Kant R (2014) A fuzzy AHP-TOPSIS framework for ranking the solutions of knowledge management adoption in supply chain to overcome its barriers. Expert Syst Appl 41:679–693. https://doi.org/10.1016/j.eswa.2013.07.093 Petrovic I, Kankaras M (2020) A hybridized IT2FS-DEMATEL-AHP-TOPSIS multicriteria decision making approach: Case study of selection and evaluation of criteria for determination of air traffic control radar position. Decis Making Appl Manag Eng 3:146–164. https://doi.org/10.31181/dmame2003134p Rezaei J, Fahim PBM, Tavasszy L (2014) Supplier selection in the airline retail industry using a funnel methodology: conjunctive screening method and fuzzy AHP. Expert Syst Appl 41:8165–8179. https://doi.org/10.1016/j.eswa.2014.07.005 Roberts R, Goodwin P (2002) Weight approximations in multi-attribute decision models. J Multi-Criteria Decis Anal 11:291–303. https://doi.org/10.1002/mcda.320 Roy B (1996) Multicriteria methodology for decision aiding. Springer, Berlin Roy B, Słowiński R (2013) Questions guiding the choice of a multicriteria decision aiding method. EURO J Decis Process 1:69–97. https://doi.org/10.1007/s40070-013-0004-7 Roy T, Dutta RK (2019) Integrated fuzzy AHP and fuzzy TOPSIS methods for multi-objective optimization of electro discharge machining process. Soft Comput 23:5053–5063. https://doi.org/10.1007/s00500-018-3173-2 Saaty TL (1990) How to make a decision: The analytic hierarchy process. European J Oper Res Desic Making Anal Hierar Process Theory Appl 48:9–26. https://doi.org/10.1016/0377-2217(90)90057-I Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281. https://doi.org/10.1016/0022-2496(77)90033-5 Sadi-Nezhad S, Khalili Damghani K (2010) Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performance. Appl Soft Comput Optim Methods Appl Decis-Making Process 10:1028–1039. https://doi.org/10.1016/j.asoc.2009.08.036 Senvar O, Otay I, Bolturk E (2016) Hospital site selection via hesitant fuzzy TOPSIS. In: IFAC-PapersOnLine, 8th IFAC conference on manufacturing modelling, management and control MIM 2016 49, 1140–1145. https://doi.org/10.1016/j.ifacol.2016.07.656 Singh RK, Gunasekaran A, Kumar P (2018) Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Ann Oper Res 267:531–553. https://doi.org/10.1007/s10479-017-2591-3 Sitorus F, Cilliers JJ, Brito-Parada PR (2019) Multi-criteria decision making for the choice problem in mining and mineral processing: applications and trends. Expert Syst Appl 121:393–417. https://doi.org/10.1016/j.eswa.2018.12.001 Sotoudeh-Anvari A, Sadjadi SJ, Hadji Molana SM, Sadi-Nezhad S (2019) A stochastic multi-objective model based on the classical optimal search model for searching for the people who are lost in response stage of earthquake. Scientia Iranica 26:1842–1864. https://doi.org/10.24200/sci.2018.20226 Sugeno M (1985) An introductory survey of fuzzy control. Inf Sci 36:59–83. https://doi.org/10.1016/0020-0255(85)90026-X Sun C-C (2010) A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst Appl 37:7745–7754. https://doi.org/10.1016/j.eswa.2010.04.066 Sun C-C, Lin GTR (2009) Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites. Expert Syst Appl 36:11764–11771. https://doi.org/10.1016/j.eswa.2009.04.017 Torlak G, Sevkli M, Sanal M, Zaim S (2011) Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry. Expert Syst Appl 38:3396–3406. https://doi.org/10.1016/j.eswa.2010.08.125 van Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst 11:229–241. https://doi.org/10.1016/S0165-0114(83)80082-7 Wang C-N, Dang T-T, Nguyen N-A-T (2021) Outsourcing reverse logistics for E-commerce retailers: a two-stage fuzzy optimization approach. Axioms 10:34. https://doi.org/10.3390/axioms10010034 Wang T-C, Chang T-H (2007) Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Syst Appl 33:870–880. https://doi.org/10.1016/j.eswa.2006.07.003 Wang Y-J (2008) Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan. Expert Syst Appl 34:1837–1845. https://doi.org/10.1016/j.eswa.2007.02.029 Wang Y-M, Elhag TMS (2006) Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Syst Appl 31:309–319. https://doi.org/10.1016/j.eswa.2005.09.040 Wątróbski J, Jankowski J, Ziemba P, Karczmarczyk A, Zioło M (2019) Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints. Data Brief 22:639–642. https://doi.org/10.1016/j.dib.2018.12.015 Wen Z, Liao H, Zavadskas EK (2020) MACONT: mixed aggregation by comprehensive normalization technique for multi-criteria analysis. Informatica 31:857–880. https://doi.org/10.15388/20-INFOR417 Wu CK, Wang C-N, Le TKT (2022) Fuzzy multi criteria decision making model for agritourism location selection: a case study in Vietnam. Axioms 11:176. https://doi.org/10.3390/axioms11040176 Yang T, Hung C-C (2007) Multiple-attribute decision making methods for plant layout design problem. Robot Comput-Integr Manuf 23:126–137. https://doi.org/10.1016/j.rcim.2005.12.002 Yang ZL, Bonsall S, Wang J (2011) Approximate TOPSIS for vessel selection under uncertain environment. Expert Syst Appl 38:14523–14534. https://doi.org/10.1016/j.eswa.2011.05.032 Yeh C-H (2002) A problem-based selection of multi-attribute decision-making methods. Int Trans Oper Res 9:169–181. https://doi.org/10.1111/1475-3995.00348 Yong D (2006) Plant location selection based on fuzzy TOPSIS. Int J Adv Manuf Technol 28:839–844. https://doi.org/10.1007/s00170-004-2436-5 Yucesan M, Gul M (2020) Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. Soft Comput 24:3237–3255. https://doi.org/10.1007/s00500-019-04084-2 Zanakis SH, Solomon A, Wishart N, Dublish S (1998) Multi-attribute decision making: A simulation comparison of select methods. Eur J Oper Res 107:507–529. https://doi.org/10.1016/S0377-2217(97)00147-1 Zavadskas EK, Podvezko V (2016) Integrated determination of objective criteria weights in MCDM. Int J Info Tech Dec Mak 15:267–283. https://doi.org/10.1142/S0219622016500036 Zavadskas EK, Turskis Z (2011) Multiple criteria decision making (MCDM) methods in economics: an overview. Technol Econ Dev Econ 17:397–427. https://doi.org/10.3846/20294913.2011.593291 Zeleny M (2012) Multiple criteria decision making Kyoto 1975. Springer, Berlin Zhu H, Wei L, Niu P (2020) The novel coronavirus outbreak in Wuhan. China Global Health Res Policy 5:6. https://doi.org/10.1186/s41256-020-00135-6