Modeling Human Vagueness and Imprecision: From Fuzzy Sets to Hesitant Fuzzy Sets

B. Farhadinia and F. Chiclana ()
Additional contact information
B. Farhadinia: Department of Mathematics, Quchan University of Technology, Quchan, Iran
F. Chiclana: ��Institute of Artificial Intelligence (IAI), Faculty of Computing, Engineering and Media, De Montfort University, Leicester, UK

New Mathematics and Natural Computation (NMNC), 2023, vol. 19, issue 03, 715-736

Abstract: Hesitant fuzzy set has been able to receive an immense concern on the basis of several studies in both theoretical and practical viewpoints that have reported its adverse effects. During the last 12 years, there has been a growing interest in different extensions of hesitant fuzzy set theory which can generates and adopts to improve hesitant fuzzy capacity to address the increase in information complexity. Through this contribution, we intend to conduct a comprehensive literature review on “Hesitant Fuzzy†extensions those have been rarely reported previously. In view of this matter, this paper takes the literature on “Hesitant Fuzzy†extensions in the core collection database of Web of Science as the research object, and moreover, it uses the bibliometric software package of VOSviewer to visually analyze the themes of “Hesitant Fuzzy†researches from different aspects such as general statistics, top authors, the affiliation of top authors, the country of top authors, the document types and the subject areas. Furthermore, this contribution analyses the chronological development of “Hesitant Fuzzy†extensions which have been more frequently and thoroughly reviewed, including the general-based, the linguistic term-based, the q-rung orthopair-based and the probabilistic-based extensions of hesitant fuzzy sets. Last, a number of directions for future research are put forward.

Keywords: Hesitant fuzzy set; extensions; literature review; bibliometric (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S179300572350031X
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:19:y:2023:i:03:n:s179300572350031x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S179300572350031X

Access Statistics for this article

New Mathematics and Natural Computation (NMNC) is currently edited by Paul P Wang

More articles in New Mathematics and Natural Computation (NMNC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().