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Bibliometric analysis on Pythagorean fuzzy sets during 2013–2020

Mingwei Lin (Fujian Normal University, Fuzhou, China)
Yanqiu Chen (Fujian Normal University, Fuzhou, China)
Riqing Chen (Fujian Agriculture and Forestry University, Fuzhou, China)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 27 November 2020

Issue publication date: 23 April 2021

140

Abstract

Purpose

The purpose of this paper is to make a comprehensive analysis of 354 publications about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively understand their historical progress and current situation, as well as future development trend.

Design/methodology/approach

First, this paper describes the fundamental information of these publications on PFSs, including their data information, annual trend and prediction and basic features. Second, the most productive and influential authors, countries/regions, institutions and the most cited documents are presented in the form of evaluation indicators. Third, with the help of VOSviewer software, the visualization analysis is conducted to show the development status of PFSs publications at the level of authors, countries/regions, institutions and keywords. Finally, the burst detection of keywords, timezone review and timeline review are exported from CiteSpace software to analyze the hotspots and development trend on PFSs.

Findings

The annual PFSs publications present a quickly increasing trend. The most productive author is Wei Guiwu (China). Wei Guiwu and Wei Cun have the strongest cooperative relationship.

Research limitations/implications

The implication of this study is to provide a comprehensive perspective for the scholars who take a fancy to PFSs, and it is valuable for scholars to grasp the hotspots in this field in time.

Originality/value

It is the first paper that uses the bibliometric analysis to comprehensively analyze the publications on PFSs. It can help the scholars in the field of PFSs to quickly understand the development status and trend of PFSs.

Keywords

Acknowledgements

This research work was supported by the National Natural Science Foundation of China under Grant Nos. 61872086 and U1805263.Data availability: The data used to support the findings of this study are included within the article.Conflict of interest: The authors declare that they have no conflict of interest.

Citation

Lin, M., Chen, Y. and Chen, R. (2021), "Bibliometric analysis on Pythagorean fuzzy sets during 2013–2020", International Journal of Intelligent Computing and Cybernetics, Vol. 14 No. 2, pp. 104-121. https://doi.org/10.1108/IJICC-06-2020-0067

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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