Fuzzy Performance Measurement: A Literature Review

Basar Oztaysi; Sezi CevikOnar; Selcuk Cebi; Cengiz Kahraman

doi:10.1007/978-3-031-70018-7_6

Fuzzy Performance Measurement: A Literature Review

Basar Oztaysi^*, Sezi CevikOnar, Selcuk Cebi, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

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

1 Citation (Scopus)

Abstract

Performance measurement (PM) is essential for assessing organizational efficacy, employing various methodologies and frameworks. In the literature, performance measurement is handled from two perspectives in the first group, effects of performance and factors affecting the organizational performance is analyzed. The second group focus on quantitative analysis which focus on tools and techniques which can be used in performance measurement. This paper examines the utilization of fuzzy sets in performance measurement studies, drawing from a literature survey conducted on Scopus. The analysis reveals a predominant use of ordinary fuzzy sets, with some studies employing extensions such as type-2 fuzzy sets and intuitionistic fuzzy sets. Furthermore, the paper delves into the methodologies employed in fuzzy performance measurement, highlighting Analytic Hierarchy Process and Data Envelopment Analysis as prominent approaches. By synthesizing these findings, the paper contributes to understanding the landscape of fuzzy-based performance measurement and underscores its significance in contemporary management practices.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	37-43
Number of pages	7
ISBN (Print)	9783031700170
DOIs	https://doi.org/10.1007/978-3-031-70018-7_6
Publication status	Published - 2024
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1088 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/Territory	Turkey
City	Canakkale
Period	16/07/24 → 18/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Fuzzy Sets
Performance Measurement
multi-criteria decision making

Access to Document

10.1007/978-3-031-70018-7_6

Cite this

Oztaysi, B., CevikOnar, S., Cebi, S., & Kahraman, C. (2024). Fuzzy Performance Measurement: A Literature Review. In C. Kahraman, S. Cevik Onar, S. Cebi, B. Oztaysi, I. Ucal Sari, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 37-43). (Lecture Notes in Networks and Systems; Vol. 1088 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70018-7_6

Oztaysi, Basar ; CevikOnar, Sezi ; Cebi, Selcuk et al. / Fuzzy Performance Measurement : A Literature Review. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Selcuk Cebi ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 37-43 (Lecture Notes in Networks and Systems).

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title = "Fuzzy Performance Measurement: A Literature Review",

abstract = "Performance measurement (PM) is essential for assessing organizational efficacy, employing various methodologies and frameworks. In the literature, performance measurement is handled from two perspectives in the first group, effects of performance and factors affecting the organizational performance is analyzed. The second group focus on quantitative analysis which focus on tools and techniques which can be used in performance measurement. This paper examines the utilization of fuzzy sets in performance measurement studies, drawing from a literature survey conducted on Scopus. The analysis reveals a predominant use of ordinary fuzzy sets, with some studies employing extensions such as type-2 fuzzy sets and intuitionistic fuzzy sets. Furthermore, the paper delves into the methodologies employed in fuzzy performance measurement, highlighting Analytic Hierarchy Process and Data Envelopment Analysis as prominent approaches. By synthesizing these findings, the paper contributes to understanding the landscape of fuzzy-based performance measurement and underscores its significance in contemporary management practices.",

keywords = "Fuzzy Sets, Performance Measurement, multi-criteria decision making",

author = "Basar Oztaysi and Sezi CevikOnar and Selcuk Cebi and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Intelligent and Fuzzy Systems, INFUS 2024 ; Conference date: 16-07-2024 Through 18-07-2024",

year = "2024",

doi = "10.1007/978-3-031-70018-7\_6",

language = "English",

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series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "37--43",

editor = "Cengiz Kahraman and \{Cevik Onar\}, Sezi and Selcuk Cebi and Basar Oztaysi and \{Ucal Sari\}, Irem and Tolga, \{A. Cagrı\}",

booktitle = "Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference",

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Oztaysi, B, CevikOnar, S, Cebi, S & Kahraman, C 2024, Fuzzy Performance Measurement: A Literature Review. in C Kahraman, S Cevik Onar, S Cebi, B Oztaysi, I Ucal Sari & AC Tolga (eds), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Lecture Notes in Networks and Systems, vol. 1088 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 37-43, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-70018-7_6

Fuzzy Performance Measurement: A Literature Review. / Oztaysi, Basar; CevikOnar, Sezi; Cebi, Selcuk et al.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Selcuk Cebi; Basar Oztaysi; Irem Ucal Sari; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 37-43 (Lecture Notes in Networks and Systems; Vol. 1088 LNNS).

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

TY - GEN

T1 - Fuzzy Performance Measurement

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2024

AU - Oztaysi, Basar

AU - CevikOnar, Sezi

AU - Cebi, Selcuk

AU - Kahraman, Cengiz

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Performance measurement (PM) is essential for assessing organizational efficacy, employing various methodologies and frameworks. In the literature, performance measurement is handled from two perspectives in the first group, effects of performance and factors affecting the organizational performance is analyzed. The second group focus on quantitative analysis which focus on tools and techniques which can be used in performance measurement. This paper examines the utilization of fuzzy sets in performance measurement studies, drawing from a literature survey conducted on Scopus. The analysis reveals a predominant use of ordinary fuzzy sets, with some studies employing extensions such as type-2 fuzzy sets and intuitionistic fuzzy sets. Furthermore, the paper delves into the methodologies employed in fuzzy performance measurement, highlighting Analytic Hierarchy Process and Data Envelopment Analysis as prominent approaches. By synthesizing these findings, the paper contributes to understanding the landscape of fuzzy-based performance measurement and underscores its significance in contemporary management practices.

AB - Performance measurement (PM) is essential for assessing organizational efficacy, employing various methodologies and frameworks. In the literature, performance measurement is handled from two perspectives in the first group, effects of performance and factors affecting the organizational performance is analyzed. The second group focus on quantitative analysis which focus on tools and techniques which can be used in performance measurement. This paper examines the utilization of fuzzy sets in performance measurement studies, drawing from a literature survey conducted on Scopus. The analysis reveals a predominant use of ordinary fuzzy sets, with some studies employing extensions such as type-2 fuzzy sets and intuitionistic fuzzy sets. Furthermore, the paper delves into the methodologies employed in fuzzy performance measurement, highlighting Analytic Hierarchy Process and Data Envelopment Analysis as prominent approaches. By synthesizing these findings, the paper contributes to understanding the landscape of fuzzy-based performance measurement and underscores its significance in contemporary management practices.

KW - Fuzzy Sets

KW - Performance Measurement

KW - multi-criteria decision making

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U2 - 10.1007/978-3-031-70018-7_6

DO - 10.1007/978-3-031-70018-7_6

M3 - Conference contribution

AN - SCOPUS:85203586963

SN - 9783031700170

T3 - Lecture Notes in Networks and Systems

SP - 37

EP - 43

BT - Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Oztaysi, Basar

A2 - Ucal Sari, Irem

A2 - Tolga, A. Cagrı

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 16 July 2024 through 18 July 2024

ER -

Oztaysi B, CevikOnar S, Cebi S, Kahraman C. Fuzzy Performance Measurement: A Literature Review. In Kahraman C, Cevik Onar S, Cebi S, Oztaysi B, Ucal Sari I, Tolga AC, editors, Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Springer Science and Business Media Deutschland GmbH. 2024. p. 37-43. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70018-7_6

Fuzzy Performance Measurement: A Literature Review

Abstract

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Bibliographical note

Keywords

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