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Fuzzy decision making in health systems: a resource allocation model

dc.contributor.authorEkin, Tahir
dc.contributor.authorKocadagli, Ozan
dc.contributor.authorBastian, Nathaniel D.
dc.contributor.authorFulton, Lawrence, V
dc.contributor.authorGriffin, Paul M.
dc.date.accessioned2025-01-09T20:14:25Z
dc.date.available2025-01-09T20:14:25Z
dc.date.issued2016
dc.identifier.issn2193-9438
dc.identifier.issn2193-9446
dc.identifier.urihttps://doi.org/10.1007/s40070-015-0049-x
dc.identifier.urihttps://hdl.handle.net/20.500.14124/9055
dc.description.abstractThe efficient use of resources in health systems is important due to the increasing demand and limited funding. Large health systems often have fixed input resources (such as budget and staffing) to be allocated among individual hospitals/clinics with particular target output levels. We propose an optimization model with fuzzy constraints that can be used for automatic resource re-allocation with respect to different levels of risk preferences. We illustrate its applicability using data from a U.S. Army hospital network. The implications of the proposed fuzzy decision-making model for healthcare decision makers and its relevance to healthcare policy and management are also discussed.en_US
dc.description.sponsorshipNational Science Foundation [DGE1255832]en_US
dc.description.sponsorshipThis work was supported in part by the National Science Foundation under Grant No. DGE1255832. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation, United States Army, Texas State University, Mimar Sinan Fine Arts University, Pennsylvania State University, Texas Tech University, or Georgia Institute of Technology.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofEuro Journal on Decision Processesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectFuzzy modelingen_US
dc.subjectResource allocationen_US
dc.subjectHealth systemsen_US
dc.subjectMilitary medicineen_US
dc.titleFuzzy decision making in health systems: a resource allocation modelen_US
dc.typearticleen_US
dc.authoridEkin, Tahir/0000-0002-0965-3521
dc.authoridkocadagli, ozan/0000-0003-4354-7383
dc.authoridFulton, Lawrence/0000-0001-8603-1913
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.doi10.1007/s40070-015-0049-x
dc.identifier.volume4en_US
dc.identifier.issue3-4en_US
dc.identifier.startpage245en_US
dc.identifier.endpage267en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityN/A
dc.identifier.wosWOS:000446935500005
dc.indekslendigikaynakWeb of Scienceen_US
dc.snmzKA_20250105


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