A Bibliometric Analysis of Linguistic Variables Based on Intuitionistic Fuzzy Set

The intuitionistic fuzzy set (IFS) has been extensively investigated, particularly concerning linguistic variables. Therefore, several modifications of linguistic variables based on IFS have been proposed in the literature. This study aims to explore scientific data related to linguistic variables based on IFS through bibliometric analysis. Data were obtained from the Scopus database and analyzed using VOSviewer software to evaluate the structure, conceptual evolution, and trends. The Scopus database provided 329 documents spanning the years 2002–2024. Specifically, the study examines the distribution of published documents per year, the most frequent keywords, the most influential authors, and the most frequently referenced sources. By highlighting significant articles and outlining publication topics, this analysis helps to enhance the quality of reviews in this field. This bibliometric analysis provides valuable insights for researchers and practitioners interested in utilizing linguistic variables based on IFS, offering an overview of current research trends and suggesting potential directions for further study. Received: 18 October 2024 | Revised: 30 December 2024 | Accepted: 18 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Nuraini Rahim: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Binyamin Yusoff: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration, Funding acquisition. Lazim Abdullah: Conceptualization, Methodology, Validation, Writing – review & editing, Supervision, Project administration. José Maria Merigó: Validation, Writing – review & editing.

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Publication Details

Journal
Journal of Computational and Cognitive Engineering
Published
2025-03-11
DOI
https://doi.org/10.47852/bonviewjcce52024574
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00

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article

A Bibliometric Analysis of Linguistic Variables Based on Intuitionistic Fuzzy Set

Lazim Abdullah, José M. Merigó, Binyamin Yusoff, Nuraini Rahim
Journal of Computational and Cognitive Engineering
Multi-Criteria Decision Making
article

A Bibliometric Analysis of Linguistic Variables Based on Intuitionistic Fuzzy Set

Lazim Abdullah, José M. Merigó, Binyamin Yusoff, Nuraini Rahim
article en

Abstract

The intuitionistic fuzzy set (IFS) has been extensively investigated, particularly concerning linguistic variables. Therefore, several modifications of linguistic variables based on IFS have been proposed in the literature. This study aims to explore scientific data related to linguistic variables based on IFS through bibliometric analysis. Data were obtained from the Scopus database and analyzed using VOSviewer software to evaluate the structure, conceptual evolution, and trends. The Scopus database provided 329 documents spanning the years 2002–2024. Specifically, the study examines the distribution of published documents per year, the most frequent keywords, the most influential authors, and the most frequently referenced sources. By highlighting significant articles and outlining publication topics, this analysis helps to enhance the quality of reviews in this field. This bibliometric analysis provides valuable insights for researchers and practitioners interested in utilizing linguistic variables based on IFS, offering an overview of current research trends and suggesting potential directions for further study. Received: 18 October 2024 | Revised: 30 December 2024 | Accepted: 18 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Nuraini Rahim: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Binyamin Yusoff: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration, Funding acquisition. Lazim Abdullah: Conceptualization, Methodology, Validation, Writing – review & editing, Supervision, Project administration. José Maria Merigó: Validation, Writing – review & editing.

Journal of Computational and Cognitive EngineeringVol. 4(2)
University of Technology Sydney (AU), Universiti Malaysia Terengganu (MY)
Universiti Malaysia Terengganu
Quality Education
Openalex Percentile: Top 95%
Multi-Criteria Decision Making
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