Science Explorer Interactive view Map

Fuzzy Systems and Optimization

Fuzzy Systems and Optimization is a research topic within Statistics and Probability. Science Explorer counts 16k research works in it since 1951. 22.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on fuzzy differential equations, uncertainty modeling, and related topics such as generalized differentiability, fractional calculus, numerical methods for solving fuzzy differential equations, and the application of fuzzy regression analysis and optimization in uncertain environments.

  • Fuzzy Differential Equations
  • Uncertainty Theory
  • Generalized Differentiability
  • Expected Value Models
  • Fractional Calculus
  • Numerical Methods
  • Interval-Valued Functions
  • Random Fuzzy Variables
  • Regression Analysis
  • Optimization
Research works
16k
fractional, since 1951
In the world top 10%
3.5k
per year above
Top-10% rate
22.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+15%
the tick is no change

Which countries lead Fuzzy Systems and Optimization research?

By volume, China and India publish the most (577 and 408 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 577 works
  2. 2 India 408 works
  3. 3 United States 123 works
  4. 4 Türkiye 116 works
  5. 5 Pakistan 107 works
  6. 6 Iran 86 works
  7. 7 Saudi Arabia 84 works
  8. 8 Spain 63 works
  9. 9 Poland 57 works
  10. 10 Iraq 53 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: 34.5%India: 24.4%United States: 7.3%Türkiye: 6.9%6 others listed: 26.9%34%largest
China577 · 34.5%India408 · 24.4%United States123 · 7.3%Türkiye116 · 6.9%6 others listed449 · 26.9%

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

Which institutions lead Fuzzy Systems and Optimization research?

By volume in 2022–2025, King Abdulaziz University publishes the most Fuzzy Systems and Optimization research, followed by Vellore Institute of Technology University and Université Sultan Moulay Slimane.

By volume, 2022–2025

  1. 1 King Abdulaziz University Saudi Arabia 22 works
  2. 2 Vellore Institute of Technology University India 19 works
  3. 3 Université Sultan Moulay Slimane Morocco 17 works
  4. 4 University of the Punjab Pakistan 14 works
  5. 5 Northwest Normal University China 14 works
  6. 6 Nanjing University of Science and Technology China 13 works
  7. 7 Xinjiang University China 13 works
  8. 8 Beihang University China 13 works
  9. 9 Universidad de Oviedo Spain 12 works
  10. 10 Instituto Tecnológico de Tijuana Mexico 10 works

Who are the leading researchers in Fuzzy Systems and Optimization?

The most-cited researchers publishing on Fuzzy Systems and Optimization include Francisco Herrera, Witold Pedrycz and Peng Shi.

  1. 1 Francisco Herrera 6.5k citations
  2. 2 Witold Pedrycz 5.4k citations
  3. 3 Peng Shi 5k citations
  4. 4 Ronald R. Yager 4.2k citations
  5. 5 Jerry M. Mendel 4k citations
  6. 6 James C. Bezdek 3.7k citations
  7. 7 Enrique Herrera‐Viedma 3.3k citations
  8. 8 Zeshui Xu 3.3k citations

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

Where is Fuzzy Systems and Optimization research done?

The largest centres of Fuzzy Systems and Optimization research in 2022–2025 are Beijing (China), Nanjing (China), Istanbul (Türkiye) and Chengdu (China).

Largest cities, 2022–2025

  1. 1 Beijing China 87 works
  2. 2 Nanjing China 52 works
  3. 3 Istanbul Türkiye 36 works
  4. 4 Chengdu China 33 works
  5. 5 Lahore Pakistan 28 works
  6. 6 Xi'an China 26 works
  7. 7 Chennai India 26 works
  8. 8 Jeddah Saudi Arabia 25 works
  9. 9 Tehran Iran 24 works
  10. 10 Shanghai China 24 works
See Fuzzy Systems and Optimization on the map

Where is the best place to study Fuzzy Systems and Optimization?

Among universities, judged by research, King Abdulaziz University, University of the Punjab and Riphah International 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.

0%25%50%75%mean 34.53%fractional works in this node (log) →share in the world top 10% →King Abdulaziz University: 22, 22.4%University of the Punjab: 14, 64.3%Riphah International University: 9, 59.0%Université Sultan Moulay Slimane: 17, 25.0%Xinjiang University: 13, 13.9%Vidyasagar University: 10, 39.0%Instituto Tecnológico de Tijuana: 10, 32.4%Vellore Institute of Technology University: 19, 14.9%Maharishi Markandeshwar University, Mullana: 8, 38.7%Thapar Institute of Engineering & Technology: 9, 35.7%University of the Pu…Riphah International…Université Sultan Mo…King Abdulaziz Unive…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1King Abdulaziz University Saudi Arabia 80.522.4%16.8×22 +223.7%
2University of the Punjab Pakistan 79.164.3%21.0×14
3Riphah International University Pakistan 68.159.0%27.6×9
4Université Sultan Moulay Slimane Morocco 60.425.0%52.3×17
5Xinjiang University China 55.813.9%12.5×13 +433.3%
6Vidyasagar University India 55.039.0%54.3×10 +56.5%
7Instituto Tecnológico de Tijuana Mexico 51.632.4%264.7×10 +13.9%
8Vellore Institute of Technology University India 51.414.9%7.9×19 +84.1%
9Maharishi Markandeshwar University, Mullana India 51.038.7%32.3×8
10Thapar Institute of Engineering & Technology India 49.735.7%24.2×9 +27.7%

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 Systems and Optimization research growing?

Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Fuzzy Systems and Optimization.

19801990200020102020
grewheldshrank

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.