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dc.contributor.authorTuna Deveci, Rumeysa
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorGÖKAŞAR, ILGIN
dc.contributor.authorKrishankumar, Raghunathan
dc.date.accessioned2022-07-04T14:12:58Z
dc.date.available2022-07-04T14:12:58Z
dc.identifier.citationDeveci M., Krishankumar R., GÖKAŞAR I., Tuna Deveci R., "Prioritization of healthcare systems during pandemics using Cronbach's measure based fuzzy WASPAS approach", ANNALS OF OPERATIONS RESEARCH, 2022
dc.identifier.issn0254-5330
dc.identifier.othervv_1032021
dc.identifier.otherav_6d27a146-32f5-46e5-84cd-979152e3b73b
dc.identifier.urihttp://hdl.handle.net/20.500.12627/183197
dc.identifier.urihttps://avesis.istanbul.edu.tr/api/publication/6d27a146-32f5-46e5-84cd-979152e3b73b/file
dc.identifier.urihttps://doi.org/10.1007/s10479-022-04714-3
dc.description.abstractPandemics are well-known as epidemics that spread globally and cause many illnesses and mortality. Because of globalization, the accelerated occurrence and circulation of new microbes, the infection has emerged and the incidence and movement of new microbes have sped up. Using technological devices to minimize the visit durations, specifying days for handling chronic diseases, subsidy for the staff are the alternatives that can help prevent healthcare systems from collapsing during pandemics. The study aims to define the efficient usage of optimization tools during pandemics to prevent healthcare systems from collapsing. In this study, a new integrated framework with fuzzy information is developed, which attempts to prioritize these alternatives for policymakers. First, rating data are assigned respective fuzzy values using the standard singleton grades. Later, criteria weights are determined by extending Cronbach's measure to fuzzy context. The measure not only understands data consistency comprehensively, but also takes into consideration the attitudinal characteristics of experts. By this approach, a rational weight vector is obtained for decision-making. Further, an improved Weighted Aggregated Sum Product Assessment (WASPAS) algorithm is put forward for ranking alternatives, which is flexibly considering criteria along with personalized ordering and holistic ordering alternatives. The usefulness of the developed framework is tested with the help of a real case study. Rank values of alternatives when unbiased weights are used is given by 0.741, 0.582, 0.640 with ordering as R-1 > R-3 > R-2. The sensitivity/comparative analysis reveals the impact of the proposed model as useful in selecting the best alternative for the healthcare systems during pandemics.
dc.language.isoeng
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectEkonometri
dc.subjectManagement Science and Operations Research
dc.subjectOrganizational Behavior and Human Resource Management
dc.subjectSocial Sciences & Humanities
dc.subjectYöneylem
dc.subjectOPERASYON ARAŞTIRMA VE YÖNETİM BİLİMİ
dc.subjectEkonomi ve İş
dc.subjectSosyal Bilimler (SOC)
dc.titlePrioritization of healthcare systems during pandemics using Cronbach's measure based fuzzy WASPAS approach
dc.typeMakale
dc.relation.journalANNALS OF OPERATIONS RESEARCH
dc.contributor.departmentNatl Def Univ , ,
dc.contributor.firstauthorID3418827


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