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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

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.

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
Sayfalar839-845
Sayfa sayısı7
ISBN (Basılı)9783031979842
DOI'lar
Yayın durumuYayınlandı - 2025
Etkinlik7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Turkey
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/BölgeTurkey
ŞehirIstanbul
Periyot29/07/2531/07/25

Bibliyografik not

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

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