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dc.contributor.authorSimsek, Berna
dc.contributor.authorTuysuz, Fatih
dc.date.accessioned2021-03-03T13:02:47Z
dc.date.available2021-03-03T13:02:47Z
dc.identifier.citationTuysuz F., Simsek B., "ANALYSIS OF THE FACTORS AFFECTING PERFORMANCE EVALUATION OF BRANCHES IN A CARGO COMPANY BY USING HESITANT FUZZY AHP", 12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Roubaix, Fransa, 24 - 26 Ağustos 2016, cilt.10, ss.866-871
dc.identifier.othervv_1032021
dc.identifier.otherav_31a44552-762b-4903-af8f-5ced551974ca
dc.identifier.urihttp://hdl.handle.net/20.500.12627/37761
dc.identifier.urihttps://doi.org/10.1142/9789813146976_0134
dc.description.abstractOne of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision making (MCDM) approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets (HFSs) based Analytic Hierarchy Process (AHP) method, which is an effective and successful approach to deal with uncertainty, is presented for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.
dc.language.isoeng
dc.subjectAlgoritmalar
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectVeritabanı ve Veri Yapıları
dc.subjectMühendislik ve Teknoloji
dc.subjectBİLGİSAYAR BİLİMİ, YAZILIM MÜHENDİSLİĞİ
dc.subjectBilgisayar Bilimleri
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleANALYSIS OF THE FACTORS AFFECTING PERFORMANCE EVALUATION OF BRANCHES IN A CARGO COMPANY BY USING HESITANT FUZZY AHP
dc.typeBildiri
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume10
dc.contributor.firstauthorID148304


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