Name
Title | ||
|---|---|---|
Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification. |
Abstract | ||
|---|---|---|
•The method can generate clustering-based intervals.•The method can predict the fuzzy trend of forecasted data in advance.•The AFS classification is exploited to yield the semantic interpretation of each fuzzy trend.•With the proposed method, the horizon of prediction can be as long as desired.•The method has both good interpretability and superior accuracy. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ins.2014.09.027 | Information Sciences |
Keywords | Field | DocType |
Fuzzy forecasting,Fuzzy time series,Axiomatic fuzzy set (AFS) classification,Automatic clustering,Trend prediction | Fuzzy clustering,Data mining,Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy number,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
294 | C | 0020-0255 |
Citations | PageRank | References |
16 | 0.68 | 39 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weina Wang | 1 | 26 | 4.89 |
| Xiaodong Liu | 2 | 492 | 28.50 |