Rough Sets and Fuzzy Logic
Rough Sets and Fuzzy Logic is a research topic within Computational Theory and Mathematics. Science Explorer counts 36k research works in it since 1950. 17.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the theory and applications of rough sets, granular computing, feature selection, decision analysis, information granulation, fuzzy rough sets, concept lattices, knowledge reduction, three-way decisions, and probabilistic rough sets in various domains.
- Rough Sets
- Granular Computing
- Feature Selection
- Decision Analysis
- Information Granulation
- Fuzzy Rough Sets
- Concept Lattices
- Knowledge Reduction
- Three-Way Decisions
- Probabilistic Rough Sets
- Research works
- 36k fractional, since 1950
- In the world top 10%
- 6.4k per year above
- Top-10% rate
- 17.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -16% the tick is no change
Which countries lead Rough Sets and Fuzzy Logic research?
By volume, China and India publish the most (1.6k and 332 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.6k works
- 2 India 332 works
- 3 United States 160 works
- 4 Türkiye 117 works
- 5 Pakistan 95 works
- 6 Spain 94 works
- 7 France 94 works
- 8 Poland 92 works
- 9 Saudi Arabia 79 works
- 10 Russia 72 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Rough Sets and Fuzzy Logic research?
By volume in 2022–2025, Sichuan University publishes the most Rough Sets and Fuzzy Logic research, followed by Chongqing University of Posts and Telecommunications and Southwest University.
By volume, 2022–2025
- 1 Sichuan UniversityChina 36 works
- 2 Chongqing University of Posts and TelecommunicationsChina 29 works
- 3 Southwest UniversityChina 27 works
- 4 Southwest Jiaotong UniversityChina 27 works
- 5 Shanxi UniversityChina 23 works
- 6 Xidian UniversityChina 22 works
- 7 Anhui UniversityChina 21 works
- 8 Sichuan Normal UniversityChina 20 works
- 9 Beijing University of Posts and TelecommunicationsChina 19 works
- 10 Minnan Normal UniversityChina 19 works
Who are the leading researchers in Rough Sets and Fuzzy Logic?
The most-cited researchers publishing on Rough Sets and Fuzzy Logic include Philip S. Yu, Francisco Herrera and Witold Pedrycz.
- 1 Philip S. Yu United States 6.6k citations
- 2 Francisco Herrera Spain 6.5k citations
- 3 Witold Pedrycz Canada 5.4k citations
- 4 Jiawei Han United States 5.2k citations
- 5 Martin Ester Canada 4.6k citations
- 6 Ronald R. Yager United States 4.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Rough Sets and Fuzzy Logic research done?
The largest centres of Rough Sets and Fuzzy Logic research in 2022–2025 are Beijing (China), Chengdu (China), Xi'an (China) and Chongqing (China).
Where is the best place to study Rough Sets and Fuzzy Logic?
Among universities, judged by research, Minzu University of China, Southwest University and University of the Punjab 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 | Minzu University of ChinaChina | 74.1 | 54.3% | 14.6× | 16 | +319.7% |
| 2 | Southwest UniversityChina | 71.0 | 58.3% | 13.5× | 28 | -12.7% |
| 3 | University of the PunjabPakistan | 67.0 | 53.9% | 12.4× | 14 | — |
| 4 | Nantong UniversityChina | 64.1 | 68.9% | 10.0× | 13 | -26.8% |
| 5 | Hunan Normal UniversityChina | 61.7 | 45.1% | 18.4× | 16 | — |
| 6 | Shaanxi University of Science and TechnologyChina | 59.1 | 45.7% | 15.7× | 14 | +29.6% |
| 7 | Shanxi UniversityChina | 58.0 | 38.9% | 23.0× | 23 | -40.1% |
| 8 | Southwest Jiaotong UniversityChina | 57.6 | 37.9% | 9.4× | 27 | -49.4% |
| 9 | Chongqing University of Posts and TelecommunicationsChina | 57.2 | 26.7% | 26.5× | 29 | -14.9% |
| 10 | Sichuan UniversityChina | 54.5 | 29.4% | 5.7× | 36 | +86.5% |
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 Rough Sets and Fuzzy Logic research growing?
Output in 2018–2022 was 16% lower than in 2013–2017, peaking in 2009.
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.