Name
Title | ||
|---|---|---|
Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data. |
Abstract | ||
|---|---|---|
Although Takagi-Sugeno-Kang (TSK) fuzzy classifier has been applied to a wide range of practical scenarios, how to enhance its classification accuracy and interpretability simultaneously is still a challenging task. In this paper, based on the powerful stacked generalization principle, a deep TSK fuzzy classifier (D-TSK-FC) is proposed to achieve the enhanced classification accuracy and triplely c... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TFUZZ.2016.2604003 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Fuzzy systems,Machine learning,Classification algorithms,Buildings,Fuzzy sets,Neural networks,Genetic algorithms | Data mining,Fuzzy classification,Fuzzy set operations,Fuzzy set,Artificial intelligence,Fuzzy number,Interpretability,Neuro-fuzzy,Pattern recognition,Defuzzification,Fuzzy logic,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
25 | 5 | 1063-6706 |
Citations | PageRank | References |
16 | 0.56 | 32 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ta Zhou | 1 | 29 | 1.40 |
| Fu Lai Chung | 2 | 1534 | 86.72 |
| Shitong Wang | 3 | 1485 | 109.13 |