Karadayi, M.A.Karsak, E.E.2024-07-182024-07-1820179781941763643https://hdl.handle.net/11411/6868International Institute of Informatics and Systemics (IIIS)21st World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2017 -- 8 July 2017 through 11 July 2017 -- -- 130927Over the past decade, healthcare has been one of the fastest growing sectors both in developed and developing countries. One of the main targets of most countries is to improve their healthcare system in terms of service quality and efficiency, where Turkey is no exception. This paper presents an imprecise data envelopment analysis (DEA)-based approach for clustering and ranking of 26 districts in Istanbul, the most crowded city of Turkey. The proposed methodology determines subgroups of districts operating under similar circumstances, and provides ranking of 26 districts as well as the best performing district in Istanbul in terms of healthcare utilizing data from state hospitals.eninfo:eu-repo/semantics/closedAccessCluster AnalysisData Envelopment AnalysisEfficiencyHealthcareImprecise DataCluster AnalysisCyberneticsData Envelopment AnalysisDeveloping CountriesEfficiencyHealth-Care SystemImprecise DataImprecise Data Envelopment AnalysisIstanbulRanking AnalysisTerms Of ServicesHealth CareConference Object2-s2.0-85032646514168N/A1632