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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. 10.0% 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%
3.1k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+2%
the tick is no change
Largest producer
China
40% of the 10 largest, 2022-now
Fuzzy Logic and Control Systems

Which countries lead Fuzzy Logic and Control Systems research?

By volume, China and India publish the most (945 and 516 works in 2022-now).

By volume, 2022-now

  1. 1 China 945 works
  2. 2 India 516 works
  3. 3 United States 187 works
  4. 4 Türkiye 154 works
  5. 5 Mexico 101 works
  6. 6 Iran 99 works
  7. 7 Brazil 89 works
  8. 8 Indonesia 88 works
  9. 9 Poland 88 works
  10. 10 Russia 80 works

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.

China: 40.3%India: 22.0%United States: 8.0%Türkiye: 6.6%6 others listed: 23.2%40%largest
China945 · 40.3%India516 · 22.0%United States187 · 8.0%Türkiye154 · 6.6%6 others listed545 · 23.2%

Shares of the rows listed above, not of the whole node.

Which institutions lead Fuzzy Logic and Control Systems research?

By volume in 2022-now, 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-now

  1. 1 Instituto Tecnológico de TijuanaMexico 35 works
  2. 2 Northeastern UniversityChina 25 works
  3. 3 Tecnológico Nacional de MéxicoMexico 20 works
  4. 4 Polish Academy of SciencesPoland 19 works
  5. 5 Islamic Azad University, TehranIran 18 works
  6. 6 Centre National de la Recherche ScientifiqueFrance 18 works
  7. 7 Azerbaijan State Oil and Industry UniversityAzerbaijan 17 works
  8. 8 Sichuan UniversityChina 15 works
  9. 9 Liaoning University of TechnologyChina 14 works
  10. 10 University of OstravaCzechia 14 works

Who are the leading researchers in Fuzzy Logic and Control Systems?

The most-cited researchers publishing on Fuzzy Logic and Control Systems include Yoshua Bengio, Geoffrey E. Hinton and Robert John Tibshirani.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Geoffrey E. Hinton Canada 454k citations
  3. 3 Robert John Tibshirani United States 396k citations
  4. 4 Trevor Hastie United States 301k citations
  5. 5 Leo Breiman United States 243k citations
  6. 6 Vladimir N. Vapnik United States 227k citations
  7. 7 Li Fei-Fei United States 225k citations
  8. 8 Kai You Wang China 224k citations
  9. 9 Charles D.A. Wolfe United Kingdom 211k citations
  10. 10 Frede Blaabjerg Denmark 203k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Fuzzy Logic and Control Systems?

The most cited paper in Fuzzy Logic and Control Systems is "Advances in neural information processing systems 7" (Krzysztof J. Cios, Mark E. Shields, 1997), with 22,314 citations. Next come "Fuzzy identification of systems and its applications to modeling and control" (19,579) and "ANFIS: adaptive-network-based fuzzy inference system" (16,328).

Most cited papers
#PaperReleasedCitations
1 Advances in neural information processing systems 7 Krzysztof J. Cios, Mark E. Shields · Neurocomputing Sep 1997 22,314
2 Fuzzy identification of systems and its applications to modeling and control Tomohiro Takagi, Michio Sugeno · IEEE Transactions on Systems Man and Cybernetics 1985 19,579
3 ANFIS: adaptive-network-based fuzzy inference system Jyh‐Shing Roger Jang · IEEE Transactions on Systems Man and Cybernetics 1993 16,328
4 Approximation by superpositions of a sigmoidal function George V. Cybenko · Mathematics of Control Signals and Systems Open access Dec 1989 14,001
5 Least Squares Support Vector Machine Classifiers Johan A. K. Suykens, Joos P. L. Vandewalle · Neural Processing Letters Open access Jun 1999 9,454
All 100 most cited papers, with filters and sorting

Where is Fuzzy Logic and Control Systems research done?

The largest centres of Fuzzy Logic and Control Systems research in 2022-now 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 and Jinzhou.

Largest cities, 2022-now

  1. 1 BeijingChina 101 works
  2. 2 Xi'anChina 57 works
  3. 3 NanjingChina 52 works
  4. 4 IstanbulTürkiye 50 works
  5. 5 ChengduChina 48 works
  6. 6 ChennaiIndia 44 works
  7. 7 ShanghaiChina 44 works
  8. 8 TijuanaMexico 38 works
  9. 9 ShenyangChina 37 works
  10. 10 TehranIran 34 works

Where it is the local speciality

  1. TijuanaMX · 38.3 works159×
  2. JinzhouCN · 20.6 works22×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Fuzzy Logic and Control Systems than the world average.

See Fuzzy Logic and Control Systems on the map

Where is the best place to study Fuzzy Logic and Control Systems?

Among universities, judged by research, Northeastern University, Hanoi University of Science and Technology and Universiti Sains Malaysia 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.

0%20%40%mean 22.65%fractional works in this field (log) →share of work in the world top 10% →Hanoi University of …Universiti Sains Mal…Northeastern Univers…Instituto Tecnológic…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Northeastern UniversityChina 75.223.7%8.8×26 +14.8%
2Hanoi University of Science and TechnologyVietnam 67.833.0%14.9×9 +137.8%
3Universiti Sains MalaysiaMalaysia 65.427.4%6.1×13 +42.8%
4Instituto Tecnológico de TijuanaMexico 61.410.1%668.4×36 -43.8%
5Sichuan UniversityChina 59.326.9%2.0×15 +11.3%
6Istanbul Technical UniversityTürkiye 54.920.9%10.4×12 +0.9%
7Liaoning University of TechnologyChina 51.218.1%58.4×14 -4.1%
8Northwestern Polytechnical UniversityChina 49.535.5%2.3×8 +0.7%
9University of AlbertaCanada 47.615.3%4.2×12 -19.9%
10Beijing University of TechnologyChina 47.015.6%5.0×11 +78.3%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Fuzzy Logic and Control Systems, country by country

Is Fuzzy Logic and Control Systems research growing?

Output in 2022-2025 was 2% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Fuzzy Logic and Control Systems.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Fuzzy Logic and Control Systems as a percentage of every work published that year, 0.018% in 2024.

still counting0.050%0.10%0.15%Fuzzy Logic and Control Systems0.016% in 202519801990200020102020

Fractional works of Fuzzy Logic and Control Systems over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Fuzzy Logic and Control Systems10.5% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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