Fuzzy Control is a feedback control methodology that employs fuzzy logic to model human-like reasoning and handle imprecise or uncertain information, distinguishing itself from conventional control techniques through its use of linguistic variables and rule-based inference over crisp mathematical models.
14.2K
Publications
759.3K
Citations
24K
Authors
3.9K
Institutions
Publications per year
2017–2026
4.1K
Variants
Fuzzy Logic Control
Parents
Publications
14.2K
1–5 of 14.2K
Authors
24K
- HL
65
h-index
- PS
62
h-index
- ST
56
h-index
- GF
51
h-index
- HL
49
h-index
1–5 of 24K
Institutions
3.9K
Harbin Institute of Technology
Harbin, China
82 h-index
545 publications
44.8K citations
Bohai University
Jinzhou, China
80 h-index
342 publications
40.4K citations
Liaoning University of Technology
Jinzhou, China
78 h-index
426 publications
45K citations
Northeastern University
Shenyang, China
70 h-index
707 publications
36.8K citations
City University of Hong Kong
Hong Kong, Hong Kong
63 h-index
222 publications
21.4K citations
The University of Adelaide
Adelaide, Australia
57 h-index
92 publications
11.1K citations
King's College London
London, United Kingdom
57 h-index
202 publications
16.8K citations
Guangdong University of Technology
Guangzhou, China
53 h-index
271 publications
20.5K citations
1–8 of 3.9K
Venues
- IEEE Transactions on Fuzzy Systems
TFS · 1.1K publications · 126.7K citations
181
h-index
- Fuzzy Sets and Systems
624 publications · 46K citations
103
h-index
- IEEE Transactions on Cybernetics
236 publications · 23.9K citations
90
h-index
- IEEE Transactions on Industrial Electronics
177 publications · 18.8K citations
84
h-index
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
160 publications · 16.8K citations
75
h-index
1–5