GrNFS: a granular neuro-fuzzy system for regression in large volume data
From MaRDI portal
Publication:2057963
DOI10.34768/AMCS-2021-0030OpenAlexW3201956228MaRDI QIDQ2057963
Publication date: 7 December 2021
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: https://doaj.org/article/aab33ef5bab744a4a51abdc503ee48e6
Related Items (3)
FuBiNFS -- fuzzy biclustering neuro-fuzzy system ⋮ Prototype based granular neuro-fuzzy system for regression task ⋮ GrDBSCAN: a granular density-based clustering algorithm
Cites Work
- Unnamed Item
- Unnamed Item
- Rough subspace neuro-fuzzy system
- Granular fuzzy models: analysis, design, and evaluation
- Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization
- Intuitionistic fuzzy sets
- Structure identification of fuzzy model
- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
- Three-way decision and granular computing
- An outlier-robust neuro-fuzzy system for classification and regression
- MGRS: a multi-granulation rough set
- Three-way granular computing, rough sets, and formal concept analysis
- TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
- An equation for continuous chaos
- Fuzzy identification of systems and its applications to modeling and control
- Rough Sets and Interactive Granular Computing
- Deterministic Nonperiodic Flow
- Oscillation and Chaos in Physiological Control Systems
- Fuzzy sets
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
This page was built for publication: GrNFS: a granular neuro-fuzzy system for regression in large volume data
