A Bibliometric Analysis of Linguistic Variables Based on Intuitionistic Fuzzy Set

Authors

  • Nuraini Rahim Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Malaysia
  • Binyamin Yusoff Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Malaysia https://orcid.org/0000-0002-3899-1474
  • Lazim Abdullah Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Malaysia https://orcid.org/0000-0002-6646-4751
  • José Maria Merigó Faculty of Engineering and Information Technology, University of Technology Sydney, Australia

DOI:

https://doi.org/10.47852/bonviewJCCE52024574

Keywords:

linguistic variables, intuitionistic fuzzy set, uncertainty, bibliometric analysis, Scopus, VOSviewer

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 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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Published

2025-03-11

Issue

Section

Review

How to Cite

Rahim, N., Yusoff, B., Abdullah, L., & Merigó, J. M. (2025). A Bibliometric Analysis of Linguistic Variables Based on Intuitionistic Fuzzy Set. Journal of Computational and Cognitive Engineering. https://doi.org/10.47852/bonviewJCCE52024574

Funding data