Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach
dc.authorid | Erdebilli, Babek/0000-0001-8860-3903 | |
dc.authorscopusid | 44661946600 | |
dc.authorscopusid | 26635754100 | |
dc.authorscopusid | 57191359648 | |
dc.authorscopusid | 56924945100 | |
dc.authorwosid | Erdebilli, Babek/L-5982-2013 | |
dc.contributor.author | Ekin, Cansu Çiğdem | |
dc.contributor.author | Oztekin, Asil | |
dc.contributor.author | Ekong, Joseph | |
dc.contributor.author | Dag, Ali | |
dc.contributor.other | Computer Engineering | |
dc.date.accessioned | 2024-07-05T15:40:06Z | |
dc.date.available | 2024-07-05T15:40:06Z | |
dc.date.issued | 2019 | |
dc.department | Atılım University | en_US |
dc.department-temp | [Rouyendegh, Babak Daneshvar] Atilim Univ, Dept Ind Engn, TR-06836 Ankara, Turkey; [Rouyendegh, Babak Daneshvar; Ekong, Joseph] Auburn Univ, Dept Ind & Syst Engn, Auburn, AL 36849 USA; [Oztekin, Asil] Univ Massachusetts Lowell, Biomed Engn & Biotechnol Program, Dept Operat & Informat Syst, One Univ Ave, Lowell, MA 01854 USA; [Dag, Ali] Univ South Dakota, Beacom Sch Business, Dept Decis Sci, Vermillion, SD 57069 USA | en_US |
dc.description | Erdebilli, Babek/0000-0001-8860-3903 | en_US |
dc.description.abstract | The goal of this study is to present a DEA-based fuzzy multi-criteria decision making model for firms in the health care industry in order to enhance their business performance. The study demonstrates a real-life use of the proposed model, mainly designed for hospitals. Data envelopment analysis enhanced with fuzzy analytic hierarchy process are collectively utilized to quantify the data and structure the model in decision-making. The juxtaposition of the two methods is used to compile a ranked list of multiple proxies containing diverse input and output variables which occur in two stages. This hybrid model provides several benefits, one of which is the ability to make the most appropriate decision considering the value of the weights determined by the data from the hybrid model. | en_US |
dc.identifier.citation | 67 | |
dc.identifier.doi | 10.1007/s10479-016-2330-1 | |
dc.identifier.endpage | 378 | en_US |
dc.identifier.issn | 0254-5330 | |
dc.identifier.issn | 1572-9338 | |
dc.identifier.issue | 1-2 | en_US |
dc.identifier.scopus | 2-s2.0-84989211449 | |
dc.identifier.startpage | 361 | en_US |
dc.identifier.uri | https://doi.org/10.1007/s10479-016-2330-1 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14411/3300 | |
dc.identifier.volume | 278 | en_US |
dc.identifier.wos | WOS:000476487100017 | |
dc.identifier.wosquality | Q1 | |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Data envelopment analysis (DEA) | en_US |
dc.subject | Multi-criteria decision making | en_US |
dc.subject | Analytic hierarchy process (AHP) | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Healthcare analytics | en_US |
dc.title | Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
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relation.isAuthorOfPublication.latestForDiscovery | 6ba797de-1a42-4c28-bbdc-867221fad30c | |
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