A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0

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

doi:10.1007/978-3-031-67195-1_1

A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0

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

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Yildiz Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

Industry 4.0 defines a paradigm shift in which traditional production methods transform into more efficient and effective new production processes under the influence of technology. Fuzzy logic can be used as an important tool in managing the uncertainties and complexities inherent in this paradigm shift. This study aims to reveal the role of fuzzy logic in the transition to Industry 4.0. Despite its critical role, studies explaining the effect of fuzzy logic are limited. For this purpose, a bibliometric trend analysis was performed using the Scopus database. The analysis revealed a growing interest in using fuzzy logic in various aspects of Industry 4.0, including decision-making processes, sustainability initiatives, artificial intelligence applications and industry-specific solutions. The important information obtained from the study sheds light on the influential countries, authors and sources that direct research in this field.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	1-7
Sayfa sayısı	7
ISBN (Basılı)	9783031671944
DOI'lar	https://doi.org/10.1007/978-3-031-67195-1_1
Yayın durumu	Yayınlandı - 2024
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Süre: 16 Tem 2024 → 18 Tem 2024

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	1089 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Ülke/Bölge	Turkey
Şehir	Canakkale
Periyot	16/07/24 → 18/07/24

Bibliyografik not

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

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1007/978-3-031-67195-1_1

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Onar, S. C., Kahraman, C., Oztaysi, B., & Cebi, S. (2024). A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. Ucal Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 1-7). (Lecture Notes in Networks and Systems; Hac. 1089 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-67195-1_1

Onar, Sezi Cevik ; Kahraman, Cengiz ; Oztaysi, Basar et al. / A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 1-7 (Lecture Notes in Networks and Systems).

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title = "A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0",

abstract = "Industry 4.0 defines a paradigm shift in which traditional production methods transform into more efficient and effective new production processes under the influence of technology. Fuzzy logic can be used as an important tool in managing the uncertainties and complexities inherent in this paradigm shift. This study aims to reveal the role of fuzzy logic in the transition to Industry 4.0. Despite its critical role, studies explaining the effect of fuzzy logic are limited. For this purpose, a bibliometric trend analysis was performed using the Scopus database. The analysis revealed a growing interest in using fuzzy logic in various aspects of Industry 4.0, including decision-making processes, sustainability initiatives, artificial intelligence applications and industry-specific solutions. The important information obtained from the study sheds light on the influential countries, authors and sources that direct research in this field.",

keywords = "AHP, AI, Fuzzy logic, Industry 4.0, Literature review, MCDM, Sustainability",

author = "Onar, {Sezi Cevik} and Cengiz Kahraman and Basar Oztaysi and Selcuk Cebi",

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 = "10.1007/978-3-031-67195-1_1",

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 {Cevik Onar}, Sezi and Basar Oztaysi and {Ucal Sari}, Irem and Selcuk Cebi and Tolga, {A. Cagri}",

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

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Onar, SC , Kahraman, C , Oztaysi, B & Cebi, S 2024, A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0. in C Kahraman, S Cevik Onar, B Oztaysi, I Ucal Sari, S Cebi & 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, hac. 1089 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 1-7, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-67195-1_1

A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0. / Onar, Sezi Cevik ; Kahraman, Cengiz ; Oztaysi, Basar et al.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 1-7 (Lecture Notes in Networks and Systems; Hac. 1089 LNNS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0

AU - Onar, Sezi Cevik

AU - Kahraman, Cengiz

AU - Oztaysi, Basar

AU - Cebi, Selcuk

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

PY - 2024

Y1 - 2024

N2 - Industry 4.0 defines a paradigm shift in which traditional production methods transform into more efficient and effective new production processes under the influence of technology. Fuzzy logic can be used as an important tool in managing the uncertainties and complexities inherent in this paradigm shift. This study aims to reveal the role of fuzzy logic in the transition to Industry 4.0. Despite its critical role, studies explaining the effect of fuzzy logic are limited. For this purpose, a bibliometric trend analysis was performed using the Scopus database. The analysis revealed a growing interest in using fuzzy logic in various aspects of Industry 4.0, including decision-making processes, sustainability initiatives, artificial intelligence applications and industry-specific solutions. The important information obtained from the study sheds light on the influential countries, authors and sources that direct research in this field.

AB - Industry 4.0 defines a paradigm shift in which traditional production methods transform into more efficient and effective new production processes under the influence of technology. Fuzzy logic can be used as an important tool in managing the uncertainties and complexities inherent in this paradigm shift. This study aims to reveal the role of fuzzy logic in the transition to Industry 4.0. Despite its critical role, studies explaining the effect of fuzzy logic are limited. For this purpose, a bibliometric trend analysis was performed using the Scopus database. The analysis revealed a growing interest in using fuzzy logic in various aspects of Industry 4.0, including decision-making processes, sustainability initiatives, artificial intelligence applications and industry-specific solutions. The important information obtained from the study sheds light on the influential countries, authors and sources that direct research in this field.

KW - AHP

KW - AI

KW - Fuzzy logic

KW - Industry 4.0

KW - Literature review

KW - MCDM

KW - Sustainability

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U2 - 10.1007/978-3-031-67195-1_1

DO - 10.1007/978-3-031-67195-1_1

M3 - Conference contribution

AN - SCOPUS:85207033243

SN - 9783031671944

T3 - Lecture Notes in Networks and Systems

SP - 1

EP - 7

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 - Oztaysi, Basar

A2 - Ucal Sari, Irem

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer Science and Business Media Deutschland GmbH

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

Y2 - 16 July 2024 through 18 July 2024

ER -

Onar SC , Kahraman C , Oztaysi B, Cebi S. A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0. In Kahraman C, Cevik Onar S, Oztaysi B, Ucal Sari I, Cebi S, Tolga AC, editörler, 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. 1-7. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-67195-1_1

A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap