Type-2 Fuzzy Sets is a fuzzy set theory construct in which the membership function itself is characterized by fuzzy uncertainty, extending Type-1 Fuzzy Sets by allowing membership degrees to be fuzzy subsets of the unit interval, thereby enabling more robust modeling of uncertainty in expert systems and linguistic reasoning.
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2017–2026
938
Variants
Type-2 Fuzzy Set
Publications
2.1K
Jerry M. Mendel, Robert John · IEEE Transactions on Fuzzy Systems · 2002 · 2.6K citations
N.N. Karnik, Jerry M. Mendel, Qi‐Lian Liang · IEEE Transactions on Fuzzy Systems · 1999 · 1.6K citations
Humanities, Computer Science, Logic +11
Vicenç Torra · International Journal of Intelligent Systems · 2010 · 1.6K citations
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- DW
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University of Southern California
Los Angeles, United States
59 h-index
187 publications
39.5K citations
Instituto Tecnológico de Tijuana
Tijuana, Mexico
51 h-index
322 publications
24.4K citations
De Montfort University
Leicester, United Kingdom
35 h-index
128 publications
11.4K citations
Istanbul Technical University
Istanbul, Türkiye
31 h-index
110 publications
6.4K citations
University of Nottingham
Nottingham, United Kingdom
31 h-index
116 publications
5.2K citations
University of Essex
Colchester, United Kingdom
28 h-index
112 publications
7K citations
Southeast University
Nanjing, China
26 h-index
61 publications
6.1K citations
Harbin Institute of Technology
Harbin, China
24 h-index
59 publications
3.7K citations
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- IEEE Transactions on Fuzzy Systems
TFS · 195 publications · 27K citations
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- Information Sciences
118 publications · 12.6K citations
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- Applied Soft Computing
85 publications · 4.6K citations
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- Soft Computing
74 publications · 2.8K citations
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- Expert Systems with Applications
48 publications · 4.1K citations
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