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Literature review on type-2 fuzzy set theory.

Authors :
De, Arnab Kumar
Chakraborty, Debjani
Biswas, Animesh
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Sep2022, Vol. 26 Issue 18, p9049-9068. 20p.
Publication Year :
2022

Abstract

Type-2 fuzzy sets possess higher capability of capturing uncertainties than ordinary fuzzy sets due to the presence of secondary membership degree. As a consequence, type-2 fuzzy set has remarkably progressed as a promising tool for dealing uncertainties in both theoretical as well as practical perspectives of various domains, like engineering, social sciences, arts and humanities, computer sciences, medical sciences, physical sciences, business and management, as well as in other areas. In this paper, a comprehensive literature survey on type-2 fuzzy set theory is presented. With the help of graphical representations, it is elaborately explained how type-2 fuzzy sets are gradually attracting the researchers years after years since its initiation. This article explores on the subject areas on which type-2 fuzzy sets have already established their potentiality to tackle imprecise information. Also, various extensions and developments of type-2 fuzzy sets have been presented in a systematic manner. Finally, future research directions of type-2 fuzzy set theory have been discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
26
Issue :
18
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
158564067
Full Text :
https://doi.org/10.1007/s00500-022-07304-4