A Fuzzy Inference System is a computational framework that employs fuzzy logic to map input signals to output decisions by reasoning with fuzzy if-then rules, thereby enabling approximate reasoning in systems characterized by uncertainty and imprecision.
11.8K
Publications
652.2K
Citations
23.7K
Authors
4.6K
Institutions
Publications per year
2017–2026
3.7K
Parents
Publications
11.8K
1–5 of 11.8K
Authors
23.7K
- WP
50
h-index
- OC
37
h-index
- PM
36
h-index
- JM
34
h-index
- FH
32
h-index
1–5 of 23.7K
Institutions
4.6K
Nanyang Technological University
Singapore, Singapore
53 h-index
285 publications
17.9K citations
Universidad de Granada
Granada, Spain
49 h-index
262 publications
20.8K citations
University of Tehran
Tehran, Iran
46 h-index
332 publications
15.3K citations
University of Alberta
Edmonton, Canada
42 h-index
195 publications
9K citations
University of Southern California
Los Angeles, United States
40 h-index
107 publications
30.7K citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
40 h-index
159 publications
9.8K citations
University of California, Berkeley
Berkeley, United States
40 h-index
101 publications
54.6K citations
Ton Duc Thang University
Ho Chi Minh City, Vietnam
39 h-index
90 publications
4.7K citations
1–8 of 4.6K
Venues
- IEEE Transactions on Fuzzy Systems
TFS · 517 publications · 51.5K citations
114
h-index
- Fuzzy Sets and Systems
519 publications · 48.6K citations
102
h-index
- Expert Systems with Applications
220 publications · 14.3K citations
69
h-index
- Information Sciences
174 publications · 10.8K citations
58
h-index
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
107 publications · 9.3K citations
53
h-index
1–5