A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case
The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has...
- Autores:
-
Ortiz Barrios, Miguel Angel
Gul, Muhammet
Yucesan, Melih
ALFARO SARMIENTO, ISAAC RAFAEL
Navarro Jiménez, Eduardo
Jimenez Delgado, Genett Isabel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9235
- Acceso en línea:
- https://hdl.handle.net/11323/9235
https://repositorio.cuc.edu.co/
- Palabra clave:
- Disaster preparedness
COVID-19
IF-AHP
IF-DEMATEL
VIKOR
- Rights
- embargoedAccess
- License
- © 2022 Elsevier Ltd. All rights reserved.
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A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| title |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| spellingShingle |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case Disaster preparedness COVID-19 IF-AHP IF-DEMATEL VIKOR |
| title_short |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| title_full |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| title_fullStr |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| title_full_unstemmed |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| title_sort |
A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian case |
| dc.creator.fl_str_mv |
Ortiz Barrios, Miguel Angel Gul, Muhammet Yucesan, Melih ALFARO SARMIENTO, ISAAC RAFAEL Navarro Jiménez, Eduardo Jimenez Delgado, Genett Isabel |
| dc.contributor.author.spa.fl_str_mv |
Ortiz Barrios, Miguel Angel Gul, Muhammet Yucesan, Melih ALFARO SARMIENTO, ISAAC RAFAEL Navarro Jiménez, Eduardo Jimenez Delgado, Genett Isabel |
| dc.subject.proposal.none.fl_str_mv |
Disaster preparedness COVID-19 IF-AHP IF-DEMATEL VIKOR |
| topic |
Disaster preparedness COVID-19 IF-AHP IF-DEMATEL VIKOR |
| description |
The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach. |
| publishDate |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2022-06-10T21:32:01Z |
| dc.date.available.none.fl_str_mv |
2022-06-10T21:32:01Z 2024-04-01 |
| dc.date.issued.none.fl_str_mv |
2022-04-01 |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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Text |
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info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
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Miguel Ortiz-Barrios, Muhammet Gul, Melih Yucesan, Isaac Alfaro-Sarmiento, Eduardo Navarro-Jiménez, Genett Jiménez-Delgado, A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case, International Journal of Disaster Risk Reduction, Volume 72, 2022, 102831, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2022.102831. |
| dc.identifier.issn.spa.fl_str_mv |
2212-4209 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/9235 |
| dc.identifier.doi.spa.fl_str_mv |
10.1016/j.ijdrr.2022.102831 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Miguel Ortiz-Barrios, Muhammet Gul, Melih Yucesan, Isaac Alfaro-Sarmiento, Eduardo Navarro-Jiménez, Genett Jiménez-Delgado, A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case, International Journal of Disaster Risk Reduction, Volume 72, 2022, 102831, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2022.102831. 2212-4209 10.1016/j.ijdrr.2022.102831 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/9235 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournal.spa.fl_str_mv |
International Journal of Disaster Risk Reduction |
| dc.relation.references.spa.fl_str_mv |
M. Saeid, H. Khankeh, A. Habibisoola, M. Mohammadali, G. Hamidkolg, B. Dadkhah Investigating hospital preparedness in Ardabil Province against unexpected accidents Health Emerg. Disaster., 4 (3) (2019), pp. 127-134 R.M. Anderson, H. Heesterbeek, D. Klinkenberg, T.D. Hollingsworth How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet, 395 (10228) (2020), pp. 931-934 World Health Organization Weekly Epidemiological Update on COVID-19 – 16 March 2021 (2021) Retrieved from https://www.who.int/publications/m/item/weekly-epidemiological-update---16-march-2021 Google Scholar World Health Organization Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19) (2020) Retrieved from https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-COVID-19-final-report.pdf Google Scholar Em-DAT: The emergency events database - universite catholique de Louvain (UCL) - CRED. D. Guha-sapir - www.emdat.be. (Brussels. Belgium). S.L. Krein, J. Mayer, M. Harrod, L.E. Weston, L. Gregory, L. Petersen, F.A. Drews Identification and characterization of failures in infectious agent transmission precaution practices in hospitals: a qualitative study JAMA Intern. Med., 178 (8) (2018), pp. 1016-1022 A.W. Suijkerbuijk, C.M. Swaan, M.J.J. Mangen, J.J. Polder, A. Timen, W.L. Ruijs Ebola in The Netherlands. 2014–2015: costs of preparedness and response Eur. J. Health Econ., 19 (7) (2018), pp. 935-943 M.A. Ortíz-Barrios, J.-. Alfaro-Saíz Methodological approaches to support process improvement in emergency departments: a systematic review Int. J. Environ. Res. Publ. Health, 17 (8) (2020), 10.3390/ijerph17082664 S.M. Hosseini, M. Bahadori, M. Raadabadi, R. Ravangard Ranking hospitals based on the disasters preparedness using the TOPSIS technique in western Iran Hosp. Top., 97 (1) (2019), pp. 23-31 M. Ortiz-Barrios, J.-. Alfaro-Saiz An integrated approach for designing in-time and economically sustainable emergency care networks: a case study in the public sector PLoS One, 15 (6 June) (2020), 10.1371/journal.pone.0234984 M. Gul, A.F. Guneri Are emergency departments in Istanbul ready for the earthquakes? Past experience and suggestions for future preparedness from employees' viewpoint and the literature J. Homel. Secur. Emerg. Manag., 12 (4) (2015), pp. 967-983 R. Dursun, C.A. Görmeli, G. Grmeli, M.R. Öncü, S. Karadaş, M. Berktaş, A. Şehitoğulları Disaster plan of hospital and mergency service in the van earthquake J. Acad. Emerg. Med., 11 (2) (2012) O. Keskin, M. Kalemoglu Earthquake and trıage Ulusal Travma Dergisi, 8 (2002), pp. 108-111 J.W. Foxell Jr., R.E. McCreight US disaster recovery readiness for a biological terrorist incident: Part Two Adv. Pure Math., 24 (2) (2002), pp. 117-129 N. Kurt, H.F. Küçük, G. Çelik, R. Demirhan, Gül Ö, G. Altaca Evaluation of the earthquake victims: August the 17th. 1999 our experience in the Marmara Earthquake Turkish J. Trauma Emerg. Surg., 7 (1) (2001), pp. 49-51 Emergency medical care following the great Hanshin-Awaji earthquake: practices and proposals (a report from a university hospital located in the damaged region) Kobe J. Med. Sci., 42 (3) (1996), p. 173 K. Yamauchi, Satoshi Mizuno, Z. Xu Disaster-readiness of medical facilities in aichi prefecture Nagoya J. Med. Sci., 59 (1996), pp. 121-128 Z. Xu, H. Liao Intuitionistic fuzzy analytic hierarchy process IEEE Trans. Fuzzy Syst., 22 (4) (2013), pp. 749-761 Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia Int. J. Sustain. Energy, 35 (4) (2016), pp. 360-377 L. Anzilli, G. Facchinetti A new proposal of defuzzification of intuitionistic fuzzy quantities Novel Developments in Uncertainty Representation and Processing, Springer, Cham (2016), pp. 185-195 S. Opricovic Višekriterijumska Optimizacija Sistema U Građevinarstvu Građevinski fakultet Univerziteta (1998) S. Opricovic, G.H. Tzeng Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS Eur. J. Oper. Res., 156 (2) (2004), pp. 445-455 K.T. Atanassov An equality between intuitionistic fuzzy sets Fuzzy Set Syst., 79 (2) (1996), pp. 257-258 L.A. Zadeh Fuzzy sets Inf. Contr., 8 (3) (1965), pp. 338-353 T.L. Saaty How to make a decision: the analytic hierarchy process Eur. J. Oper. Res., 48 (1) (1990), pp. 9-26 N. Bhushan, K. Rai Strategic Decision Making: Applying the Analytic Hierarchy Process Springer Science & Business Media (2007) A. Gabus, E. Fontela World Problems. An Invitation to Further Thought within the Framework of DEMATEL Battelle Institute (1972) (Geneva research centre) A. Gabus, E. Fontela Perceptions of the World Problematique: Communication Procedure. Communicating with Those Bearing Collective Responsibility Battelle Geneva Research Centre, Geneva. Switzerland (1973) L. Ocampo, K. Yamagishi Modeling the Lockdown Relaxation Protocols of the Philippine Government in Response to the COVID-19 Pandemic: an Intuitionistic Fuzzy DEMATEL Analysis Socio-Economic Planning Sciences (2020), p. 100911 F. Samanlioglu Evaluation of influenza intervention strategies in Turkey with fuzzy AHP-VIKOR J. Healthcare Eng. (2019), p. 2019 T.Y. Chen A novel VIKOR method with an application to multiple criteria decision analysis for hospital-based post-acute care within a highly complex uncertain environment Neural Comput. Appl., 31 (8) (2019), pp. 3969-3999 Y. Liu, C.M. Eckert, C. Earl A review of fuzzy AHP methods for decision-making with subjective judgements Expert Syst. Appl. (2020), p. 113738 M. Gul, M.F. Ak, A.F. Guneri Occupational health and safety risk assessment in hospitals: a case study using two-stage fuzzy multi-criteria approach Hum. Ecol. Risk Assess., 23 (2) (2017), pp. 187-202 T. Lupo A fuzzy framework to evaluate service quality in the healthcare industry: an empirical case of public hospital service evaluation in Sicily Appl. Soft Comput., 40 (2016), pp. 468-478 M. Yazdani, A.E. Torkayesh, P. Chatterjee An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital J. Enterprise Inf. Manag. (2020) A. Shekhovtsov, W. Sałabun A comparative case study of the VIKOR and TOPSIS rankings similarity Procedia Comput. Sci., 176 (2020), pp. 3730-3740 W. Sałabun, J. Wątróbski, A. Shekhovtsov Are mcda methods benchmarkable? a comparative study of topsis, vikor, copras, and promethee ii methods Symmetry, 12 (9) (2020), p. 1549 World Health Organization Hospital Readiness Checklist for COVID–19 World Health Organization, Geneva, Switzerland (2020) http://www.euro.who.int/__data/assets/pdf_file/0010/430210/Hospital-Readiness-Checklist.pdf 2020 M. Amiri, M. Hashemi-Tabatabaei, M. Ghahremanloo, M. Keshavarz-Ghorabaee, E.K. Zavadskas, J. Antucheviciene A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: a case study Appl. Soft Comput., 92 (2020), p. 106279 H. Liao, X. Mi, Q. Yu, L. Luo Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing J. Clean. Prod., 232 (2019), pp. 657-671 B.D. Rouyendegh, A. Oztekin, J. Ekong, A. Dag Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach Ann. Oper. Res., 278 (1) (2019), pp. 361-378 Y. Li, X. Lei, A. Morton Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals Health Care Manag. Sci., 22 (2) (2019), pp. 215-228 V. Prakash, D. Annapoorni Performance evaluation of public hospitals in Tamil Nadu: DEA approach J. Health Manag., 17 (4) (2015), pp. 417-424 M. Gul, M. Yucesan Hospital preparedness assessment against COVID-19 pandemic: a case study in Turkish tertiary healthcare services Math. Probl Eng. (2021), p. 2021 A. Moheimani, R. Sheikh, S.M.H. Hosseini, S.S. Sana Assessing the preparedness of hospitals facing disasters using the rough set theory: guidelines for more preparedness to cope with the COVID-19 Int. J. Syst. Sci.: Oper. Logist., 8 (2021), pp. 1-16 A. Moheimani, R. Sheikh, S.M.H. Hosseini, S.S. Sana Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system Soft Comput., 25 (5) (2021), pp. 3955-3974 M. Ortiz-Barrios, M. Gul, P. López-Meza, M. Yucesan, E. Navarro-Jiménez Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: the case of Turkish hospitals Int. J. Disaster Risk Reduc. (2020), p. 101748 M.A. Ortiz‐Barrios, B.A. Aleman‐Romero, J. Rebolledo‐Rudas, H. Maldonado‐Mestre, L. Montes‐Villa, F. De Felice, A. Petrillo The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: the ADT model J. Multi-Criteria Decis. Anal., 24 (5–6) (2017), pp. 204-226 M.A. Marzaleh, R. Rezaee, A. Rezaianzadeh, M. Rakhshan, G. Hadadi, M. Peyravi Emergency department preparedness of hospitals for radiation. Nuclear accidents. And nuclear terrorism: a qualitative study in Iran Iran. Red Crescent Med. J., 21 (5) (2019) A.S. Yalcin, H.S. Kilic, D. Delen The use of multi-criteria decision-making methods in business analytics: a comprehensive literature review Technol. Forecast. Soc. Change, 174 (2022), p. 121193 A. Shekhovtsov, N. Rehman, S. Faizi, W. Sałabun On the analytic hierarchy process structure in group decision-making using incomplete fuzzy information with applications Symmetry, 13 (4) (2021), p. 609 W. Sałabun, A. Piegat Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome Artif. Intell. Rev., 48 (4) (2017), pp. 557-571 A. Piegat, W. Sałabun June). Comparative analysis of MCDM methods for assessing the severity of chronic liver disease International Conference on Artificial Intelligence and Soft Computing, Springer, Cham (2015), pp. 228-238 R. Sun, Z. Gong, G. Gao, A.A. Shah Comparative analysis of multi-criteria decision-making methods for flood disaster risk in the Yangtze river Delta Int. J. Disaster Risk Reduc., 51 (2020), p. 101768 E. Celik, A.T. Gumus An outranking approach based on interval type-2 fuzzy sets to evaluate preparedness and response ability of non-governmental humanitarian relief organizations Comput. Ind. Eng., 101 (2016), pp. 21-34 M. Mojtahedi, R.Y. Sunindijo, F. Lestari, S. Suparni, O. Wijaya Developing hospital emergency and disaster management index using TOPSIS method Sustainability, 13 (9) (2021), p. 5213 A. Budak, İ. Kaya, A. Karaşan, M. Erdoğan Real-time location systems selection by using a fuzzy MCDM approach: an application in humanitarian relief logistics Appl. Soft Comput., 92 (2020), p. 106322 A. Sotoudeh-Anvari, S.J. Sadjadi, S.M. Hadji Molana, S. Sadi-Nezhad 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 Sci. Iran., 26 (3) (2019), pp. 1842-1864 S.A.N. Tabatabaei, S. Abbasi Risk assessment in social security hospitals of Isfahan Province in case of disasters based on the hospital safety index Int. J. Health Syst. Disaster Manag., 4 (3) (2016), p. 82 M. Top, Ö. Gider, Y. Tas An investigation of hospital disaster preparedness in Turkey J. Homel. Secur. Emerg. Manag., 7 (1) (2010) W.N. Naser, P.L. Ingrassia, S. Aladhrae, W.A. Abdulraheem A study of hospital disaster preparedness in South Yemen Prehospital Disaster Med., 33 (2) (2018), pp. 133-138 N.M. Samsuddin, R. Takim, A.H. Nawawi, S.N.A.S. Alwee Disaster preparedness attributes and hospital's resilience in Malaysia Procedia Eng., 212 (2018), pp. 371-378 H. Shabanikiya, M. Jafari, H.A. Gorgi, H. Seyedin, A. Rahimi Developing a practical toolkit for evaluating hospital preparedness for surge capacity in disasters Int. J. Disaster Risk Reduc., 34 (2019), pp. 423-428 M.R. Omidi, M. Jafari Eskandari, S. Raissi, A.A. Shojaei Providing an appropriate prediction model for traffic accidents: a case study on accidents in Golestan. Mazandaran. Guilan. and Ardebil Provinces Health Emerg. Disaster., 4 (3) (2019), pp. 165-172 F. Rezaei, Z. Mohebbi-Dehnavi Evaluation of the readiness of hospitals affiliated to Isfahan University of Medical Sciences in unexpected events in 2017 J. Educ. Health Promot., 8 (2019) A. Ishizaka, A. Labib Review of the main developments in the analytic hierarchy process Expert Syst. Appl., 38 (11) (2011), pp. 14336-14345, 10.1016/j.eswa.2011.04.143 D.R. Bargueño, V.A.P. Salomon, F.A.S. Marins, P. Palominos, L.A. Marrone State of the art review on the analytic hierarchy process and urban mobility Mathematics, 9 (24) (2021), 10.3390/math9243179 M. Tavana, M. Zareinejad, D. Di Caprio, M.A. Kaviani An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics Appl. Soft Comput. J., 40 (2016), pp. 544-557, 10.1016/j.asoc.2015.12.005 G. Büyüközkan, C.A. Havle, O. Feyzioğlu A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP J. Air Transport. Manag., 86 (2020), p. 101817 M. Mahmoudzadeh, A. Bafandeh A new method for consistency test in fuzzy AHP J. Intell. Fuzzy Syst., 25 (2) (2013), pp. 457-461 S. Jiang, H. Shi, W. Lin, H.-. Liu A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management Appl. Soft Comput. J., 86 (2020), 10.1016/j.asoc.2019.105900 L. Zhang, R. Liu, S. Jiang, G. Luo, H.-. Liu Identification of key performance indicators for hospital management using an extended hesitant linguistic dematel approach Healthcare, 8 (1) (2020), 10.3390/healthcare8010007 G. Büyüközkan, S. Güleryüz, B. Karpak A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation Int. J. Prod. Econ., 191 (2017), pp. 194-206 M. Ortiz-Barrios, J.-. Alfaro-Saiz An integrated approach for designing in-time and economically sustainable emergency care networks: a case study in the public sector PLoS One, 15 (6 June) (2020), 10.1371/journal.pone.0234984 M. Abdel-Basset, W. Ding, R. Mohamed, N. Metawa An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries Risk Manag., 22 (3) (2020), pp. 192-218 K.T. Atanassov Intuitionistic fuzzy sets Intuitionistic Fuzzy Sets, Physica, Heidelberg (1999), pp. 1-137 E. Boltürk, S. Çevik Onar, B. Öztayşi, C. Kahraman, K. Goztepe Multi-attribute warehouse location selection in humanitarian logistics using hesitant fuzzy AHP Int. J. Anal. Hierar. Proc., 8 (2) (2016), pp. 271-298 R. Ohta, V.A.P. Salomon, M.B. Silva Classical, fuzzy, hesitant fuzzy and intuitionistic fuzzy analytic hierarchy processes applied to industrial maintenance management J. Intell. Fuzzy Syst., 38 (1) (2020), pp. 601-608, 10.3233/JIFS-179433 L.A. Ocampo Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production Environ. Dev. Sustain., 21 (5) (2019), pp. 2225-2251 I. Karacan, O. Senvar, O. Arslan, Y. Ekmekçi, S. Bulkan A novel approach integrating intuitionistic fuzzy analytical hierarchy process and goal programming for chickpea cultivar selection under stress conditions Processes, 8 (10) (2020), p. 1288 T.L. Saaty The Analytical Hierarchy Process. Planning. Priority. Resource Allocation RWS publications, USA (1980) M. Gul, E. Celik, N. Aydin, A.T. Gumus, A.F. Guneri A state of the art literature review of VIKOR and its fuzzy extensions on applications Appl. Soft Comput., 46 (2016), pp. 60-89 S. Fallah-Aliabadi, A. Ostadtaghizadeh, A. Ardalan, F. Fatemi, B. Khazai, M.R. Mirjalili Towards developing a model for the evaluation of hospital disaster resilience: a systematic review BMC Health Serv. Res., 20 (1) (2020), p. 64 W. Aburas, T.M. Alshammari Pharmacists' roles in emergency and disasters: COVID-19 as an example Saudi Pharmaceut. J., 28 (12) (2020), pp. 1797-1816, 10.1016/j.jsps.2020.11.006 Z. Koch, M. Yuan, E. Bristow Emergency response after disaster strikes: agent-based simulation of ambulances in new windsor, NY J. Infrastruct. Syst., 26 (3) (2020), 10.1061/(ASCE)IS.1943-555X.0000565 K.V. Iserson Augmenting the disaster healthcare workforce West. J. Emerg. Med., 21 (3) (2020), pp. 490-496, 0.5811/westjem.2020.4.47553 A. Khorram-Manesh Flexible surge capacity–public health, public education, and disaster management Health Promot. Perspect., 10 (3) (2020), pp. 175-179, 10.34172/hpp.2020.30 E. Forman, K. Peniwati Aggregating individual judgments and priorities with the analytic hierarchy process Eur. J. Oper. Res., 108 (1) (1998), pp. 165-169, 10.1016/S0377-2217(97)00244-0 T.L. Saaty, K. Peniwati Group Decision Making: Drawing Out and Reconciling Differences RWS publications (2013) P. Hilbert-Carius, J. Braun, F. Abu-Zidan, J. Adler, J. Knapp, D. Dandrifosse, R. Albrecht Pre-hospital care & interfacility transport of 385 COVID-19 emergency patients: an air ambulance perspective Scand. J. Trauma Resuscitation Emerg. Med., 28 (1) (2020), pp. 1-10 S. Al-Hajj, H. Abou-El-Hassan, L. Khalil, H. Kaafarani, M. El Sayed Hospital disaster and emergency preparedness (HDEP) in Lebanon: a national comprehensive assessment Int. J. Disaster Risk Reduc. (2020), p. 101889 E. Roud Collective improvisation in emergency response Saf. Sci., 135 (2021), p. 105104 A.D. Zuckerman, P.C. Patel, M. Sullivan, A. Potts, M. Knostman, E. Humphreys, ..., J. Hayman From natural disaster to pandemic: a health-system pharmacy rises to the challenge Am. J. Health Syst. Pharm., 77 (23) (2020), pp. 1986-1993, 10.1093/ajhp/zxaa180 M.O. Barrios, H.F. Jiménez Reduction of Average Lead Time in Outpatient Service of Obstetrics through Six Sigma Methodology (2015), 10.1007/978-3-319-26508-7_29 J. Liu, X. Wei, Y. Zhou, D.C. Tsang, M. Yin, H. Lippold, D. Chen Thallium contamination. health risk assessment and source apportionment in common vegetables Sci. Total Environ., 703 (2020), p. 135547 J.L. Nates, M. Nunnally, R. Kleinpell, S. Blosser, J. Goldner, B. Birriel, C.L. Sprung ICU admission. discharge. and triage guidelines: a framework to enhance clinical operations. development of institutional policies. and further research Crit. Care Med., 44 (8) (2016), pp. 1553-1602 M.A. Ortiz-Barrios, Z. Herrera-Fontalvo, J. Rúa-Muñoz, S. Ojeda-Gutiérrez, F. De Felice, A. Petrillo An integrated approach to evaluate the risk of adverse events in hospital sector Manag. Decis. (2018) |
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Ortiz Barrios, Miguel AngelGul, MuhammetYucesan, MelihALFARO SARMIENTO, ISAAC RAFAELNavarro Jiménez, EduardoJimenez Delgado, Genett Isabel2022-06-10T21:32:01Z2024-04-012022-06-10T21:32:01Z2022-04-01Miguel Ortiz-Barrios, Muhammet Gul, Melih Yucesan, Isaac Alfaro-Sarmiento, Eduardo Navarro-Jiménez, Genett Jiménez-Delgado, A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case, International Journal of Disaster Risk Reduction, Volume 72, 2022, 102831, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2022.102831.2212-4209https://hdl.handle.net/11323/923510.1016/j.ijdrr.2022.102831Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach.27 paginasapplication/pdfengElsevier Ltd.United Kingdom© 2022 Elsevier Ltd. All rights reserved.Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: the colombian caseArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.sciencedirect.com/science/article/pii/S2212420922000504International Journal of Disaster Risk ReductionM. Saeid, H. Khankeh, A. Habibisoola, M. Mohammadali, G. Hamidkolg, B. Dadkhah Investigating hospital preparedness in Ardabil Province against unexpected accidents Health Emerg. Disaster., 4 (3) (2019), pp. 127-134R.M. Anderson, H. Heesterbeek, D. Klinkenberg, T.D. Hollingsworth How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet, 395 (10228) (2020), pp. 931-934World Health Organization Weekly Epidemiological Update on COVID-19 – 16 March 2021 (2021) Retrieved from https://www.who.int/publications/m/item/weekly-epidemiological-update---16-march-2021 Google ScholarWorld Health Organization Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19) (2020) Retrieved from https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-COVID-19-final-report.pdf Google ScholarEm-DAT: The emergency events database - universite catholique de Louvain (UCL) - CRED. D. Guha-sapir - www.emdat.be. (Brussels. Belgium).S.L. Krein, J. Mayer, M. Harrod, L.E. Weston, L. Gregory, L. Petersen, F.A. Drews Identification and characterization of failures in infectious agent transmission precaution practices in hospitals: a qualitative study JAMA Intern. Med., 178 (8) (2018), pp. 1016-1022A.W. Suijkerbuijk, C.M. Swaan, M.J.J. Mangen, J.J. Polder, A. Timen, W.L. Ruijs Ebola in The Netherlands. 2014–2015: costs of preparedness and response Eur. J. Health Econ., 19 (7) (2018), pp. 935-943M.A. Ortíz-Barrios, J.-. Alfaro-Saíz Methodological approaches to support process improvement in emergency departments: a systematic review Int. J. Environ. Res. Publ. Health, 17 (8) (2020), 10.3390/ijerph17082664S.M. Hosseini, M. Bahadori, M. Raadabadi, R. Ravangard Ranking hospitals based on the disasters preparedness using the TOPSIS technique in western Iran Hosp. Top., 97 (1) (2019), pp. 23-31M. Ortiz-Barrios, J.-. Alfaro-Saiz An integrated approach for designing in-time and economically sustainable emergency care networks: a case study in the public sector PLoS One, 15 (6 June) (2020), 10.1371/journal.pone.0234984M. Gul, A.F. Guneri Are emergency departments in Istanbul ready for the earthquakes? Past experience and suggestions for future preparedness from employees' viewpoint and the literature J. Homel. Secur. Emerg. Manag., 12 (4) (2015), pp. 967-983R. Dursun, C.A. Görmeli, G. Grmeli, M.R. Öncü, S. Karadaş, M. Berktaş, A. Şehitoğulları Disaster plan of hospital and mergency service in the van earthquake J. Acad. Emerg. Med., 11 (2) (2012)O. Keskin, M. Kalemoglu Earthquake and trıage Ulusal Travma Dergisi, 8 (2002), pp. 108-111J.W. Foxell Jr., R.E. McCreight US disaster recovery readiness for a biological terrorist incident: Part Two Adv. Pure Math., 24 (2) (2002), pp. 117-129N. Kurt, H.F. Küçük, G. Çelik, R. Demirhan, Gül Ö, G. Altaca Evaluation of the earthquake victims: August the 17th. 1999 our experience in the Marmara Earthquake Turkish J. Trauma Emerg. Surg., 7 (1) (2001), pp. 49-51Emergency medical care following the great Hanshin-Awaji earthquake: practices and proposals (a report from a university hospital located in the damaged region) Kobe J. Med. Sci., 42 (3) (1996), p. 173K. Yamauchi, Satoshi Mizuno, Z. Xu Disaster-readiness of medical facilities in aichi prefecture Nagoya J. Med. Sci., 59 (1996), pp. 121-128Z. Xu, H. Liao Intuitionistic fuzzy analytic hierarchy process IEEE Trans. Fuzzy Syst., 22 (4) (2013), pp. 749-761Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia Int. J. Sustain. Energy, 35 (4) (2016), pp. 360-377L. Anzilli, G. Facchinetti A new proposal of defuzzification of intuitionistic fuzzy quantities Novel Developments in Uncertainty Representation and Processing, Springer, Cham (2016), pp. 185-195S. Opricovic Višekriterijumska Optimizacija Sistema U Građevinarstvu Građevinski fakultet Univerziteta (1998)S. Opricovic, G.H. Tzeng Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS Eur. J. Oper. Res., 156 (2) (2004), pp. 445-455K.T. Atanassov An equality between intuitionistic fuzzy sets Fuzzy Set Syst., 79 (2) (1996), pp. 257-258L.A. Zadeh Fuzzy sets Inf. Contr., 8 (3) (1965), pp. 338-353T.L. Saaty How to make a decision: the analytic hierarchy process Eur. J. Oper. Res., 48 (1) (1990), pp. 9-26N. Bhushan, K. Rai Strategic Decision Making: Applying the Analytic Hierarchy Process Springer Science & Business Media (2007)A. Gabus, E. Fontela World Problems. An Invitation to Further Thought within the Framework of DEMATEL Battelle Institute (1972) (Geneva research centre)A. Gabus, E. Fontela Perceptions of the World Problematique: Communication Procedure. Communicating with Those Bearing Collective Responsibility Battelle Geneva Research Centre, Geneva. Switzerland (1973)L. Ocampo, K. Yamagishi Modeling the Lockdown Relaxation Protocols of the Philippine Government in Response to the COVID-19 Pandemic: an Intuitionistic Fuzzy DEMATEL Analysis Socio-Economic Planning Sciences (2020), p. 100911F. Samanlioglu Evaluation of influenza intervention strategies in Turkey with fuzzy AHP-VIKOR J. Healthcare Eng. (2019), p. 2019T.Y. Chen A novel VIKOR method with an application to multiple criteria decision analysis for hospital-based post-acute care within a highly complex uncertain environment Neural Comput. Appl., 31 (8) (2019), pp. 3969-3999Y. Liu, C.M. Eckert, C. Earl A review of fuzzy AHP methods for decision-making with subjective judgements Expert Syst. Appl. (2020), p. 113738M. Gul, M.F. Ak, A.F. Guneri Occupational health and safety risk assessment in hospitals: a case study using two-stage fuzzy multi-criteria approach Hum. Ecol. Risk Assess., 23 (2) (2017), pp. 187-202T. Lupo A fuzzy framework to evaluate service quality in the healthcare industry: an empirical case of public hospital service evaluation in Sicily Appl. Soft Comput., 40 (2016), pp. 468-478M. Yazdani, A.E. Torkayesh, P. Chatterjee An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital J. Enterprise Inf. Manag. (2020)A. Shekhovtsov, W. Sałabun A comparative case study of the VIKOR and TOPSIS rankings similarity Procedia Comput. Sci., 176 (2020), pp. 3730-3740W. Sałabun, J. Wątróbski, A. Shekhovtsov Are mcda methods benchmarkable? a comparative study of topsis, vikor, copras, and promethee ii methods Symmetry, 12 (9) (2020), p. 1549World Health Organization Hospital Readiness Checklist for COVID–19 World Health Organization, Geneva, Switzerland (2020) http://www.euro.who.int/__data/assets/pdf_file/0010/430210/Hospital-Readiness-Checklist.pdf 2020M. Amiri, M. Hashemi-Tabatabaei, M. Ghahremanloo, M. Keshavarz-Ghorabaee, E.K. Zavadskas, J. Antucheviciene A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: a case study Appl. Soft Comput., 92 (2020), p. 106279H. Liao, X. Mi, Q. Yu, L. Luo Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing J. Clean. Prod., 232 (2019), pp. 657-671B.D. Rouyendegh, A. Oztekin, J. Ekong, A. Dag Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach Ann. Oper. Res., 278 (1) (2019), pp. 361-378Y. Li, X. Lei, A. Morton Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals Health Care Manag. Sci., 22 (2) (2019), pp. 215-228V. Prakash, D. Annapoorni Performance evaluation of public hospitals in Tamil Nadu: DEA approach J. Health Manag., 17 (4) (2015), pp. 417-424M. Gul, M. Yucesan Hospital preparedness assessment against COVID-19 pandemic: a case study in Turkish tertiary healthcare services Math. Probl Eng. (2021), p. 2021A. Moheimani, R. Sheikh, S.M.H. Hosseini, S.S. Sana Assessing the preparedness of hospitals facing disasters using the rough set theory: guidelines for more preparedness to cope with the COVID-19 Int. J. Syst. Sci.: Oper. Logist., 8 (2021), pp. 1-16A. Moheimani, R. Sheikh, S.M.H. Hosseini, S.S. Sana Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system Soft Comput., 25 (5) (2021), pp. 3955-3974M. Ortiz-Barrios, M. Gul, P. López-Meza, M. Yucesan, E. Navarro-Jiménez Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: the case of Turkish hospitals Int. J. Disaster Risk Reduc. (2020), p. 101748M.A. Ortiz‐Barrios, B.A. Aleman‐Romero, J. Rebolledo‐Rudas, H. Maldonado‐Mestre, L. Montes‐Villa, F. De Felice, A. Petrillo The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: the ADT model J. Multi-Criteria Decis. Anal., 24 (5–6) (2017), pp. 204-226M.A. Marzaleh, R. Rezaee, A. Rezaianzadeh, M. Rakhshan, G. Hadadi, M. Peyravi Emergency department preparedness of hospitals for radiation. Nuclear accidents. And nuclear terrorism: a qualitative study in Iran Iran. Red Crescent Med. J., 21 (5) (2019)A.S. Yalcin, H.S. Kilic, D. Delen The use of multi-criteria decision-making methods in business analytics: a comprehensive literature review Technol. Forecast. Soc. Change, 174 (2022), p. 121193A. Shekhovtsov, N. Rehman, S. Faizi, W. Sałabun On the analytic hierarchy process structure in group decision-making using incomplete fuzzy information with applications Symmetry, 13 (4) (2021), p. 609W. Sałabun, A. Piegat Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome Artif. Intell. Rev., 48 (4) (2017), pp. 557-571A. Piegat, W. Sałabun June). Comparative analysis of MCDM methods for assessing the severity of chronic liver disease International Conference on Artificial Intelligence and Soft Computing, Springer, Cham (2015), pp. 228-238R. Sun, Z. Gong, G. Gao, A.A. Shah Comparative analysis of multi-criteria decision-making methods for flood disaster risk in the Yangtze river Delta Int. J. Disaster Risk Reduc., 51 (2020), p. 101768E. Celik, A.T. Gumus An outranking approach based on interval type-2 fuzzy sets to evaluate preparedness and response ability of non-governmental humanitarian relief organizations Comput. Ind. Eng., 101 (2016), pp. 21-34M. Mojtahedi, R.Y. Sunindijo, F. Lestari, S. Suparni, O. Wijaya Developing hospital emergency and disaster management index using TOPSIS method Sustainability, 13 (9) (2021), p. 5213A. Budak, İ. Kaya, A. Karaşan, M. Erdoğan Real-time location systems selection by using a fuzzy MCDM approach: an application in humanitarian relief logistics Appl. Soft Comput., 92 (2020), p. 106322A. Sotoudeh-Anvari, S.J. Sadjadi, S.M. Hadji Molana, S. Sadi-Nezhad 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 Sci. Iran., 26 (3) (2019), pp. 1842-1864S.A.N. Tabatabaei, S. Abbasi Risk assessment in social security hospitals of Isfahan Province in case of disasters based on the hospital safety index Int. J. Health Syst. Disaster Manag., 4 (3) (2016), p. 82M. Top, Ö. Gider, Y. Tas An investigation of hospital disaster preparedness in Turkey J. Homel. Secur. Emerg. Manag., 7 (1) (2010)W.N. Naser, P.L. Ingrassia, S. Aladhrae, W.A. Abdulraheem A study of hospital disaster preparedness in South Yemen Prehospital Disaster Med., 33 (2) (2018), pp. 133-138N.M. Samsuddin, R. Takim, A.H. Nawawi, S.N.A.S. Alwee Disaster preparedness attributes and hospital's resilience in Malaysia Procedia Eng., 212 (2018), pp. 371-378H. Shabanikiya, M. Jafari, H.A. Gorgi, H. Seyedin, A. Rahimi Developing a practical toolkit for evaluating hospital preparedness for surge capacity in disasters Int. J. Disaster Risk Reduc., 34 (2019), pp. 423-428M.R. Omidi, M. Jafari Eskandari, S. Raissi, A.A. Shojaei Providing an appropriate prediction model for traffic accidents: a case study on accidents in Golestan. Mazandaran. Guilan. and Ardebil Provinces Health Emerg. Disaster., 4 (3) (2019), pp. 165-172F. Rezaei, Z. Mohebbi-Dehnavi Evaluation of the readiness of hospitals affiliated to Isfahan University of Medical Sciences in unexpected events in 2017 J. Educ. Health Promot., 8 (2019)A. Ishizaka, A. Labib Review of the main developments in the analytic hierarchy process Expert Syst. Appl., 38 (11) (2011), pp. 14336-14345, 10.1016/j.eswa.2011.04.143D.R. Bargueño, V.A.P. Salomon, F.A.S. Marins, P. Palominos, L.A. Marrone State of the art review on the analytic hierarchy process and urban mobility Mathematics, 9 (24) (2021), 10.3390/math9243179M. Tavana, M. Zareinejad, D. Di Caprio, M.A. Kaviani An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics Appl. Soft Comput. J., 40 (2016), pp. 544-557, 10.1016/j.asoc.2015.12.005G. Büyüközkan, C.A. Havle, O. Feyzioğlu A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP J. Air Transport. Manag., 86 (2020), p. 101817M. Mahmoudzadeh, A. Bafandeh A new method for consistency test in fuzzy AHP J. Intell. Fuzzy Syst., 25 (2) (2013), pp. 457-461S. Jiang, H. Shi, W. Lin, H.-. Liu A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management Appl. Soft Comput. J., 86 (2020), 10.1016/j.asoc.2019.105900L. Zhang, R. Liu, S. Jiang, G. Luo, H.-. Liu Identification of key performance indicators for hospital management using an extended hesitant linguistic dematel approach Healthcare, 8 (1) (2020), 10.3390/healthcare8010007G. Büyüközkan, S. Güleryüz, B. Karpak A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation Int. J. Prod. Econ., 191 (2017), pp. 194-206M. Ortiz-Barrios, J.-. Alfaro-Saiz An integrated approach for designing in-time and economically sustainable emergency care networks: a case study in the public sector PLoS One, 15 (6 June) (2020), 10.1371/journal.pone.0234984M. Abdel-Basset, W. Ding, R. Mohamed, N. Metawa An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries Risk Manag., 22 (3) (2020), pp. 192-218K.T. Atanassov Intuitionistic fuzzy sets Intuitionistic Fuzzy Sets, Physica, Heidelberg (1999), pp. 1-137E. Boltürk, S. Çevik Onar, B. Öztayşi, C. Kahraman, K. Goztepe Multi-attribute warehouse location selection in humanitarian logistics using hesitant fuzzy AHP Int. J. Anal. Hierar. Proc., 8 (2) (2016), pp. 271-298R. Ohta, V.A.P. Salomon, M.B. Silva Classical, fuzzy, hesitant fuzzy and intuitionistic fuzzy analytic hierarchy processes applied to industrial maintenance management J. Intell. Fuzzy Syst., 38 (1) (2020), pp. 601-608, 10.3233/JIFS-179433L.A. Ocampo Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production Environ. Dev. Sustain., 21 (5) (2019), pp. 2225-2251I. Karacan, O. Senvar, O. Arslan, Y. Ekmekçi, S. Bulkan A novel approach integrating intuitionistic fuzzy analytical hierarchy process and goal programming for chickpea cultivar selection under stress conditions Processes, 8 (10) (2020), p. 1288T.L. Saaty The Analytical Hierarchy Process. Planning. Priority. Resource Allocation RWS publications, USA (1980)M. Gul, E. Celik, N. Aydin, A.T. Gumus, A.F. Guneri A state of the art literature review of VIKOR and its fuzzy extensions on applications Appl. Soft Comput., 46 (2016), pp. 60-89S. Fallah-Aliabadi, A. Ostadtaghizadeh, A. Ardalan, F. Fatemi, B. Khazai, M.R. Mirjalili Towards developing a model for the evaluation of hospital disaster resilience: a systematic review BMC Health Serv. Res., 20 (1) (2020), p. 64W. Aburas, T.M. Alshammari Pharmacists' roles in emergency and disasters: COVID-19 as an example Saudi Pharmaceut. J., 28 (12) (2020), pp. 1797-1816, 10.1016/j.jsps.2020.11.006Z. Koch, M. Yuan, E. Bristow Emergency response after disaster strikes: agent-based simulation of ambulances in new windsor, NY J. Infrastruct. Syst., 26 (3) (2020), 10.1061/(ASCE)IS.1943-555X.0000565K.V. Iserson Augmenting the disaster healthcare workforce West. J. Emerg. Med., 21 (3) (2020), pp. 490-496, 0.5811/westjem.2020.4.47553A. Khorram-Manesh Flexible surge capacity–public health, public education, and disaster management Health Promot. Perspect., 10 (3) (2020), pp. 175-179, 10.34172/hpp.2020.30E. Forman, K. Peniwati Aggregating individual judgments and priorities with the analytic hierarchy process Eur. J. Oper. Res., 108 (1) (1998), pp. 165-169, 10.1016/S0377-2217(97)00244-0T.L. Saaty, K. Peniwati Group Decision Making: Drawing Out and Reconciling Differences RWS publications (2013)P. Hilbert-Carius, J. Braun, F. Abu-Zidan, J. Adler, J. Knapp, D. Dandrifosse, R. Albrecht Pre-hospital care & interfacility transport of 385 COVID-19 emergency patients: an air ambulance perspective Scand. J. Trauma Resuscitation Emerg. Med., 28 (1) (2020), pp. 1-10S. Al-Hajj, H. Abou-El-Hassan, L. Khalil, H. Kaafarani, M. El Sayed Hospital disaster and emergency preparedness (HDEP) in Lebanon: a national comprehensive assessment Int. J. Disaster Risk Reduc. (2020), p. 101889E. Roud Collective improvisation in emergency response Saf. Sci., 135 (2021), p. 105104A.D. Zuckerman, P.C. Patel, M. Sullivan, A. Potts, M. Knostman, E. Humphreys, ..., J. Hayman From natural disaster to pandemic: a health-system pharmacy rises to the challenge Am. J. Health Syst. Pharm., 77 (23) (2020), pp. 1986-1993, 10.1093/ajhp/zxaa180M.O. Barrios, H.F. Jiménez Reduction of Average Lead Time in Outpatient Service of Obstetrics through Six Sigma Methodology (2015), 10.1007/978-3-319-26508-7_29J. Liu, X. Wei, Y. Zhou, D.C. Tsang, M. Yin, H. Lippold, D. Chen Thallium contamination. health risk assessment and source apportionment in common vegetables Sci. Total Environ., 703 (2020), p. 135547J.L. Nates, M. Nunnally, R. Kleinpell, S. Blosser, J. Goldner, B. Birriel, C.L. Sprung ICU admission. discharge. and triage guidelines: a framework to enhance clinical operations. development of institutional policies. and further research Crit. Care Med., 44 (8) (2016), pp. 1553-1602M.A. Ortiz-Barrios, Z. Herrera-Fontalvo, J. Rúa-Muñoz, S. Ojeda-Gutiérrez, F. De Felice, A. Petrillo An integrated approach to evaluate the risk of adverse events in hospital sector Manag. Decis. (2018)27172Disaster preparednessCOVID-19IF-AHPIF-DEMATELVIKORPublicationORIGINALA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness The colombian case.pdfA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness The colombian case.pdfapplication/pdf4584030https://repositorio.cuc.edu.co/bitstreams/259f9611-b712-4799-b310-06d262affe77/download54ec1a947844ca6974b6612310416c57MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/41b1b17e-2120-4093-98ce-ddbb342bf4da/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness The colombian case.pdf.txtA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness The colombian case.pdf.txttext/plain143750https://repositorio.cuc.edu.co/bitstreams/3e2b9c98-34a2-46e2-9888-d63179481135/download9b33267e7b160e9672852c660eb96ff7MD53THUMBNAILA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness The colombian case.pdf.jpgA fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness The colombian case.pdf.jpgimage/jpeg13373https://repositorio.cuc.edu.co/bitstreams/d4324aa0-a002-42cc-8928-dfc8e8f8941d/download70331ab4ac764d5b644733034a8eb400MD5411323/9235oai:repositorio.cuc.edu.co:11323/92352024-09-17 10:49:39.552https://creativecommons.org/licenses/by-nc-nd/4.0/© 2022 Elsevier Ltd. 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