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Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS

  • Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

Whether managed by the government or the private sector, hospital management is a highly important issue in terms of both public health and the efficient use of resources. For hospital administrators, establishing an objective performance evaluation system is essential to assess the effectiveness of managerial decisions. In this study, hospital performance management is examined from a multi-criteria decision-making perspective, and a decision model consisting of eight criteria and 25 sub-criteria has been developed. The performance of a hospital is investigated from different perspectives, including financial aspects, satisfaction, efficiency, service quality, technological infrastructure, sustainability, and compliance with laws. The approach is implemented using the Fuzzy Analytic Hierarchy Process (AHP) and the TOPSIS methods. Fuzzy AHP is used to determine the criteria weights, while TOPSIS is applied to calculate the performance scores. To better represent expert evaluations, linguistic terms are used and later converted into fuzzy numbers. The study is conducted using data from three different hospitals, and the results are analyzed.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference
EditörlerCengiz Kahraman, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, Cagri Tolga, Irem Ucal Sari, Irem Otay
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar477-486
Sayfa sayısı10
ISBN (Basılı)9783031979842
DOI'lar
Yayın durumuYayınlandı - 2025
Etkinlik7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Türkiye
Süre: 29 Tem 202531 Tem 2025

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim1528 LNNS
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025
Ülke/BölgeTürkiye
ŞehirIstanbul
Periyot29/07/2531/07/25

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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