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Issue title: Special Section: FLINS 2018
Guest editors: Cengiz Kahraman
Article type: Research Article
Authors: Vij, Sonakshia | Jain, Amitab | Tayal, Devendraa | Castillo, Oscarc; *
Affiliations: [a] Department of CSE, Indira Gandhi Delhi Technical University for Women, India | [b] Department of CSE, Ambedkar Institute of Advanced Communication Technologies and Research, India | [c] Division of Graduate Studies and Research, Tijuana Institute of Technology, Mexico
Correspondence: [*] Corresponding author. Oscar Castillo, Division of Graduate Studies and Research, Tijuana Institute of Technology, Mexico. E-mail: ocastillo@tectijuana.mx.
Abstract: The concept of Hesitant Fuzzy Sets (HFS) came into picture where a set is created of the possible membership values that are willing to participate for contribution to the fuzzy sets. HFS has recently become very popular between researchers who are working on variants of fuzzy logic. This paper highlights the research queries related to the Scientometric analysis of HFS by studying 410 research publications from the Web of Science (v.5.31) database (from inception of Web of Science online data till 2017). This paper answers questions pertaining to the important terms and concepts for HFS, co-authorship patterns in HFS, dominating research areas of HFS, and countries with maximum research paper contribution, co-citation patterns for first authors and bibliographical coupling for organizations. A brief outline of the citation analysis is also made in the form of a sub-section.
Keywords: Fuzzy logic, hesitant fuzzy sets, HFS, Scientometric analysis
DOI: 10.3233/JIFS-179435
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 619-626, 2020
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