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. 10.0% 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%
- 3.6k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -9% the tick is no change
- Largest producer
China
59% of the 10 largest, 2022-now
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