Fuzzy Logic and Control Systems
Fuzzy Logic and Control Systems is a research topic within Artificial Intelligence. Science Explorer counts 31k research works in it since 1950. 16.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the theory, design, and applications of Type-2 Fuzzy Logic Systems, including Interval Type-2 Fuzzy Logic. It covers topics such as neuro-fuzzy methods, genetic fuzzy systems, system identification, control systems, machine learning, and pattern recognition.
- Type-2 Fuzzy Sets
- Fuzzy Logic Systems
- Neuro-Fuzzy Methods
- Interval Type-2 Fuzzy Logic
- Genetic Fuzzy Systems
- Fuzzy Rule-Based Systems
- System Identification
- Control Systems
- Machine Learning
- Pattern Recognition
- Research works
- 31k fractional, since 1950
- In the world top 10%
- 5.1k per year above
- Top-10% rate
- 16.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -10% the tick is no change
Which countries lead Fuzzy Logic and Control Systems research?
By volume, China and India publish the most (815 and 461 works in 2022–2025).
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Fuzzy Logic and Control Systems research?
By volume in 2022–2025, Instituto Tecnológico de Tijuana publishes the most Fuzzy Logic and Control Systems research, followed by Northeastern University and Tecnológico Nacional de México.
By volume, 2022–2025
- 1 Instituto Tecnológico de Tijuana Mexico 33 works
- 2 Northeastern University China 22 works
- 3 Tecnológico Nacional de México Mexico 19 works
- 4 Azerbaijan State Oil and Industry University Azerbaijan 14 works
- 5 Sichuan University China 14 works
- 6 University of Ostrava Czechia 13 works
- 7 Dalian University of Technology China 11 works
- 8 Liaoning University of Technology China 11 works
- 9 Istanbul Technical University Türkiye 11 works
- 10 University of Alberta Canada 11 works
Who are the leading researchers in Fuzzy Logic and Control Systems?
The most-cited researchers publishing on Fuzzy Logic and Control Systems include Francisco Herrera, Guanrong Chen and Witold Pedrycz.
- 1 Francisco Herrera 6.5k citations
- 2 Guanrong Chen 5.4k citations
- 3 Witold Pedrycz 5.4k citations
- 4 Peng Shi 5k citations
- 5 Jyh‐Shing Roger Jang 4.5k citations
- 6 Zidong Wang 4.4k citations
- 7 Ronald R. Yager 4.2k citations
- 8 Fei–Yue Wang 4.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Fuzzy Logic and Control Systems research done?
The largest centres of Fuzzy Logic and Control Systems research in 2022–2025 are Beijing (China), Xi'an (China), Nanjing (China) and Istanbul (Türkiye). Among places with at least 20 works in it, it is an unusually large share of all research in Tijuana.
Largest cities, 2022–2025
Where it is the local speciality
- TijuanaMX · 36.3 works171×
Location quotient: how much more of its research is in Fuzzy Logic and Control Systems than the world average.
Where is the best place to study Fuzzy Logic and Control Systems?
Among universities, judged by research, Instituto Tecnológico de Tijuana, Azerbaijan State Oil and Industry University and Istanbul Technical University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Instituto Tecnológico de Tijuana Mexico | 68.9 | 20.1% | 611.5× | 34 | +31.1% |
| 2 | Azerbaijan State Oil and Industry University Azerbaijan | 65.5 | 21.9% | 60.6× | 14 | +494.0% |
| 3 | Istanbul Technical University Türkiye | 59.0 | 34.3% | 9.2× | 11 | +9.7% |
| 4 | Universiti Sains Malaysia Malaysia | 58.7 | 42.5% | 5.7× | 11 | +20.9% |
| 5 | Northeastern University China | 56.1 | 26.0% | 7.5× | 22 | +27.9% |
| 6 | University of Memphis United States | 55.9 | 10.9% | 27.4× | 11 | +238.5% |
| 7 | Sichuan University China | 52.3 | 37.3% | 2.5× | 14 | +270.2% |
| 8 | University of Ostrava Czechia | 50.4 | 6.3% | 65.3× | 13 | +65.3% |
| 9 | Liaoning University of Technology China | 46.1 | 23.3% | 45.6× | 11 | -35.3% |
| 10 | Yıldız Technical University Türkiye | 45.1 | 15.7% | 11.8× | 10 | +8.0% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Fuzzy Logic and Control Systems research growing?
Output in 2018–2022 was 10% lower than in 2013–2017, peaking in 2002.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.