Name
Abstract | ||
|---|---|---|
In this paper, the Takagi-Sugeno-Kang (TSK) fuzzy classifier is casted into the Bayesian inference framework and a new fuzzy classifier called Bayesian TSK fuzzy classifier (B-TSK-FC) is proposed accordingly. The proposed classifier can be constructed by learning both the antecedent and consequent parameters of the involved fuzzy rules simultaneously. As a result of the introduction of Bayesian in... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TFUZZ.2016.2617377 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Classification algorithms,Bayes methods,Clustering algorithms,Partitioning algorithms,Support vector machines,Probabilistic logic,Fuzzy systems | Fuzzy clustering,Neuro-fuzzy,Bayesian inference,Fuzzy classification,Pattern recognition,Fuzzy logic,Support vector machine,Artificial intelligence,Fuzzy control system,Adaptive neuro fuzzy inference system,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
25 | 6 | 1063-6706 |
Citations | PageRank | References |
4 | 0.40 | 49 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqing Gu | 1 | 44 | 9.30 |
| Fu Lai Chung | 2 | 1534 | 86.72 |
| S. Wang | 3 | 62 | 3.54 |