CIRCULAR ECONOMY AND FUZZY SET THEORY: A BIBLIOMETRIC AND SYSTEMATIC REVIEW BASED ON INDUSTRY 4.0 TECHNOLOGIES PERSPECTIVE.

Saved in:
Bibliographic Details
Title: CIRCULAR ECONOMY AND FUZZY SET THEORY: A BIBLIOMETRIC AND SYSTEMATIC REVIEW BASED ON INDUSTRY 4.0 TECHNOLOGIES PERSPECTIVE.
Authors: Xunjie GOU1, Xinru XU1, Zeshui XU1 xuzeshui@263.net, SKARE, Marinko2,3
Source: Technological & Economic Development of Economy. 2024, Vol. 30 Issue 2, p489-526. 38p.
Subjects: Circular economy, Set theory, Fuzzy sets, Industry 4.0, Bibliometrics, Waste recycling
Abstract: The Circular Economy (CE) is receiving more attention, especially in Industry 4.0 (I4.0). In the face of several ambiguous and uncertain information, fuzzy techniques based on Fuzzy Set Theory (FST) are essential for developing CE strategies. This paper uses bibliometric methods to analyze the characteristics of the authors, nations/regions, institutions of the literature of FST and CE, and the collaborations relations between them, and then summarize the literature on fuzzy techniques in the CE and identify the specific role that FST can play in each stage of CE, its primary effects on the CE's pre-preparation stage, design and production stage, and recycling and reuse stage. Meanwhile, the paper explores the advantages of I4.0 technologies for CE and analyzes the research on the role of fuzzy techniques based on FST for CE and I4.0 technologies. Last but not least, this paper is concluded by summarizing the knowledge gained from the bibliometric and content analyses of the literature and suggesting further research directions of investigation. This research will draw attention to FST's contribution and encourage its advancement in CE and I4.0 technologies. [ABSTRACT FROM AUTHOR]
Copyright of Technological & Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 177257818
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CIRCULAR ECONOMY AND FUZZY SET THEORY: A BIBLIOMETRIC AND SYSTEMATIC REVIEW BASED ON INDUSTRY 4.0 TECHNOLOGIES PERSPECTIVE.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xunjie+GOU%22">Xunjie GOU</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xinru+XU%22">Xinru XU</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zeshui+XU%22">Zeshui XU</searchLink><relatesTo>1</relatesTo><i> xuzeshui@263.net</i><br /><searchLink fieldCode="AR" term="%22SKARE%2C+Marinko%22">SKARE, Marinko</searchLink><relatesTo>2,3</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Technological+%26+Economic+Development+of+Economy%22">Technological & Economic Development of Economy</searchLink>. 2024, Vol. 30 Issue 2, p489-526. 38p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Circular+economy%22">Circular economy</searchLink><br /><searchLink fieldCode="DE" term="%22Set+theory%22">Set theory</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Waste+recycling%22">Waste recycling</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Circular Economy (CE) is receiving more attention, especially in Industry 4.0 (I4.0). In the face of several ambiguous and uncertain information, fuzzy techniques based on Fuzzy Set Theory (FST) are essential for developing CE strategies. This paper uses bibliometric methods to analyze the characteristics of the authors, nations/regions, institutions of the literature of FST and CE, and the collaborations relations between them, and then summarize the literature on fuzzy techniques in the CE and identify the specific role that FST can play in each stage of CE, its primary effects on the CE's pre-preparation stage, design and production stage, and recycling and reuse stage. Meanwhile, the paper explores the advantages of I4.0 technologies for CE and analyzes the research on the role of fuzzy techniques based on FST for CE and I4.0 technologies. Last but not least, this paper is concluded by summarizing the knowledge gained from the bibliometric and content analyses of the literature and suggesting further research directions of investigation. This research will draw attention to FST's contribution and encourage its advancement in CE and I4.0 technologies. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Technological & Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=177257818
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3846/tede.2024.20286
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 38
        StartPage: 489
    Subjects:
      – SubjectFull: Circular economy
        Type: general
      – SubjectFull: Set theory
        Type: general
      – SubjectFull: Fuzzy sets
        Type: general
      – SubjectFull: Industry 4.0
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Waste recycling
        Type: general
    Titles:
      – TitleFull: CIRCULAR ECONOMY AND FUZZY SET THEORY: A BIBLIOMETRIC AND SYSTEMATIC REVIEW BASED ON INDUSTRY 4.0 TECHNOLOGIES PERSPECTIVE.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xunjie GOU
      – PersonEntity:
          Name:
            NameFull: Xinru XU
      – PersonEntity:
          Name:
            NameFull: Zeshui XU
      – PersonEntity:
          Name:
            NameFull: SKARE, Marinko
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: 2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 20294913
          Numbering:
            – Type: volume
              Value: 30
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Technological & Economic Development of Economy
              Type: main
ResultId 1