Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS

Muzaffer Gorkem Ozel; Y. Ilker Topcu; Basar Oztaysi

doi:10.1007/978-3-031-97985-9_53

Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS

Muzaffer Gorkem Ozel^*, Y. Ilker Topcu, Basar Oztaysi

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference
Editors	Cengiz Kahraman, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, Cagri Tolga, Irem Ucal Sari, Irem Otay
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	477-486
Number of pages	10
ISBN (Print)	9783031979842
DOIs	https://doi.org/10.1007/978-3-031-97985-9_53
Publication status	Published - 2025
Event	7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Turkey Duration: 29 Jul 2025 → 31 Jul 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1528 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025
Country/Territory	Turkey
City	Istanbul
Period	29/07/25 → 31/07/25

Bibliographical note

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

Keywords

AHP
Hospital performance
TOPSIS
fuzzy logic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-97985-9_53

Cite this

Ozel, M. G., Topcu, Y. I., & Oztaysi, B. (2025). Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS. In C. Kahraman, B. Oztaysi, S. Cebi, S. Cevik Onar, C. Tolga, I. Ucal Sari, & I. Otay (Eds.), Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference (pp. 477-486). (Lecture Notes in Networks and Systems; Vol. 1528 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-97985-9_53

Ozel, Muzaffer Gorkem ; Topcu, Y. Ilker ; Oztaysi, Basar. / Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS. Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. editor / Cengiz Kahraman ; Basar Oztaysi ; Selcuk Cebi ; Sezi Cevik Onar ; Cagri Tolga ; Irem Ucal Sari ; Irem Otay. Springer Science and Business Media Deutschland GmbH, 2025. pp. 477-486 (Lecture Notes in Networks and Systems).

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title = "Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS",

abstract = "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.",

keywords = "AHP, Hospital performance, TOPSIS, fuzzy logic",

author = "Ozel, \{Muzaffer Gorkem\} and Topcu, \{Y. Ilker\} and Basar Oztaysi",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 ; Conference date: 29-07-2025 Through 31-07-2025",

year = "2025",

doi = "10.1007/978-3-031-97985-9\_53",

language = "English",

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series = "Lecture Notes in Networks and Systems",

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pages = "477--486",

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booktitle = "Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference",

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Ozel, MG, Topcu, YI & Oztaysi, B 2025, Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS. in C Kahraman, B Oztaysi, S Cebi, S Cevik Onar, C Tolga, I Ucal Sari & I Otay (eds), Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. Lecture Notes in Networks and Systems, vol. 1528 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 477-486, 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025, Istanbul, Turkey, 29/07/25. https://doi.org/10.1007/978-3-031-97985-9_53

Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS. / Ozel, Muzaffer Gorkem; Topcu, Y. Ilker; Oztaysi, Basar.
Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. ed. / Cengiz Kahraman; Basar Oztaysi; Selcuk Cebi; Sezi Cevik Onar; Cagri Tolga; Irem Ucal Sari; Irem Otay. Springer Science and Business Media Deutschland GmbH, 2025. p. 477-486 (Lecture Notes in Networks and Systems; Vol. 1528 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS

AU - Ozel, Muzaffer Gorkem

AU - Topcu, Y. Ilker

AU - Oztaysi, Basar

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - AHP

KW - Hospital performance

KW - TOPSIS

KW - fuzzy logic

UR - https://www.scopus.com/pages/publications/105012925709

U2 - 10.1007/978-3-031-97985-9_53

DO - 10.1007/978-3-031-97985-9_53

M3 - Conference contribution

AN - SCOPUS:105012925709

SN - 9783031979842

T3 - Lecture Notes in Networks and Systems

SP - 477

EP - 486

BT - Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference

A2 - Kahraman, Cengiz

A2 - Oztaysi, Basar

A2 - Cebi, Selcuk

A2 - Cevik Onar, Sezi

A2 - Tolga, Cagri

A2 - Ucal Sari, Irem

A2 - Otay, Irem

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025

Y2 - 29 July 2025 through 31 July 2025

ER -

Ozel MG, Topcu YI, Oztaysi B. Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS. In Kahraman C, Oztaysi B, Cebi S, Cevik Onar S, Tolga C, Ucal Sari I, Otay I, editors, Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. Springer Science and Business Media Deutschland GmbH. 2025. p. 477-486. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-97985-9_53

Hospital Performance Measurement System by Using Fuzzy AHP - TOPSIS

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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