The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis

Sezi Cevik Onar; Cengiz Kahraman; Selcuk Cebi; Basar Oztaysi

doi:10.1007/978-3-031-97985-9_93

The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis

Sezi Cevik Onar^*, Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi

^*Corresponding author for this work

Department of Industrial Engineering

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

Abstract

In this study, a bibliometric analysis of the use of fuzzy multi-criteria decision-making (MCDM) methods in human-centric digital transformation is conducted. In order to support responsible technological transformation with values like sustainability, transparency, and fairness, a systematic decision-making framework is necessary. The fuzzy MCDM techniques offer effective tools since they are able to deal with uncertainty and human judgement in complex decision-making problems. In this study we analyzed the usage areas of these methods in the literature by using Scopus database. The results indicate a growing interest in this field. Fuzzy AHP, TOPSIS, and DEMATEL are the most frequently applied methods, often used with extensions of fuzzy sets. Human centricity and sustainability concepts are often considered together.

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	839-845
Number of pages	7
ISBN (Print)	9783031979842
DOIs	https://doi.org/10.1007/978-3-031-97985-9_93
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

Fuzzy AHP
Fuzzy DEMATEL
Fuzzy MCDM
Fuzzy TOPSIS
Human Centric
Literature Review

Access to Document

10.1007/978-3-031-97985-9_93

Cite this

Onar, S. C., Kahraman, C., Cebi, S., & Oztaysi, B. (2025). The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis. 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. 839-845). (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_93

Onar, Sezi Cevik ; Kahraman, Cengiz ; Cebi, Selcuk et al. / The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation : A Bibliometric Analysis. 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. 839-845 (Lecture Notes in Networks and Systems).

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title = "The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis",

abstract = "In this study, a bibliometric analysis of the use of fuzzy multi-criteria decision-making (MCDM) methods in human-centric digital transformation is conducted. In order to support responsible technological transformation with values like sustainability, transparency, and fairness, a systematic decision-making framework is necessary. The fuzzy MCDM techniques offer effective tools since they are able to deal with uncertainty and human judgement in complex decision-making problems. In this study we analyzed the usage areas of these methods in the literature by using Scopus database. The results indicate a growing interest in this field. Fuzzy AHP, TOPSIS, and DEMATEL are the most frequently applied methods, often used with extensions of fuzzy sets. Human centricity and sustainability concepts are often considered together.",

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author = "Onar, \{Sezi Cevik\} and Cengiz Kahraman and Selcuk Cebi 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\_93",

language = "English",

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series = "Lecture Notes in Networks and Systems",

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

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

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

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Onar, SC, Kahraman, C, Cebi, S & Oztaysi, B 2025, The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis. 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. 839-845, 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_93

The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis. / Onar, Sezi Cevik; Kahraman, Cengiz; Cebi, Selcuk et al.
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. 839-845 (Lecture Notes in Networks and Systems; Vol. 1528 LNNS).

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

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T1 - The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation

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

AU - Onar, Sezi Cevik

AU - Kahraman, Cengiz

AU - Cebi, Selcuk

AU - Oztaysi, Basar

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

PY - 2025

Y1 - 2025

N2 - In this study, a bibliometric analysis of the use of fuzzy multi-criteria decision-making (MCDM) methods in human-centric digital transformation is conducted. In order to support responsible technological transformation with values like sustainability, transparency, and fairness, a systematic decision-making framework is necessary. The fuzzy MCDM techniques offer effective tools since they are able to deal with uncertainty and human judgement in complex decision-making problems. In this study we analyzed the usage areas of these methods in the literature by using Scopus database. The results indicate a growing interest in this field. Fuzzy AHP, TOPSIS, and DEMATEL are the most frequently applied methods, often used with extensions of fuzzy sets. Human centricity and sustainability concepts are often considered together.

AB - In this study, a bibliometric analysis of the use of fuzzy multi-criteria decision-making (MCDM) methods in human-centric digital transformation is conducted. In order to support responsible technological transformation with values like sustainability, transparency, and fairness, a systematic decision-making framework is necessary. The fuzzy MCDM techniques offer effective tools since they are able to deal with uncertainty and human judgement in complex decision-making problems. In this study we analyzed the usage areas of these methods in the literature by using Scopus database. The results indicate a growing interest in this field. Fuzzy AHP, TOPSIS, and DEMATEL are the most frequently applied methods, often used with extensions of fuzzy sets. Human centricity and sustainability concepts are often considered together.

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M3 - Conference contribution

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A2 - Cevik Onar, Sezi

A2 - Tolga, Cagri

A2 - Ucal Sari, Irem

A2 - Otay, Irem

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 29 July 2025 through 31 July 2025

ER -

Onar SC, Kahraman C, Cebi S, Oztaysi B. The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis. 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. 839-845. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-97985-9_93

The Usage of Fuzzy MCDM Methods for Empowering Human-Centric Digital Transformation: A Bibliometric Analysis

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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