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

^*Corresponding author for this work

Department of Industrial Engineering

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

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.

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, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-7
Number of pages	7
ISBN (Print)	9783031671944
DOIs	https://doi.org/10.1007/978-3-031-67195-1_1
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	1089 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

AHP
AI
Fuzzy logic
Industry 4.0
Literature review
MCDM
Sustainability

UN SDGs

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

Access to Document

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

Cite this

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; Vol. 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. editor / 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.",

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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",

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

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

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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, vol. 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; Vol. 1089 LNNS).

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

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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.

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KW - Literature review

KW - MCDM

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M3 - Conference contribution

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SN - 9783031671944

T3 - Lecture Notes in Networks and Systems

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EP - 7

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

A2 - Kahraman, Cengiz

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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, 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. 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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