Name
Abstract | ||
|---|---|---|
In this study, we propose a new design methodology of granular fuzzy models, introduce its further generalization in the form of granular fuzzy models of higher type, and discuss detection and characterization of outliers expressed with regard to the constructed information granules. In recent years, various models that describe the system from different perspectives have been built to resolve the... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2018.2849736 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Numerical models,Resource management,Computational modeling,Anomaly detection,Adaptation models,Data models | Interpretability,Anomaly detection,Data modeling,Fuzzy logic,Outlier,Design methods,Granular computing,Artificial intelligence,Granularity,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 6 | 1063-6706 |
Citations | PageRank | References |
10 | 0.46 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiubin Zhu | 1 | 62 | 6.12 |
| W. Pedrycz | 2 | 13966 | 1005.85 |
| Zhi Wu Li | 3 | 470 | 38.43 |