The fuzzy time series has recently received increasing attention because of its capability of dealing with vague and incomplete data. There have been a variety of models developed to either improve forecasting accuracy or reduce computation overhead. However, the issues of controlling uncertainty in
Weighted fuzzy time series models for TAIEX forecasting
β Scribed by Hui-Kuang Yu
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 236 KB
- Volume
- 349
- Category
- Article
- ISSN
- 0378-4371
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