| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4961674 | Procedia Computer Science | 2016 | 8 Pages |
Abstract
By specific example of the volatile time series there are considered known fuzzy forecasting models, which differ in rules of fuzzification and/or defuzzification. In the context of this study, the paper presents a new approach to defuzzification of outputs of fuzzy time series on the base of applying the fuzzy set point-estimation method. As compared with some well-known defuzzification rules, proposed method improves the statistical quality of volatile time series modeling.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Hajar Shikhaliyeva, Tahir Mehdiyev,