A weighted fuzzy integrated time series for forecasting tourist arrivals
Literature reviews show that the most commonly studied fuzzy time series models for the purpose of forecasting is first order. In such approaches, only the first lagged variable is used when constructing the first order fuzzy time series model. Therefore, such approaches fail to analyze accurately t...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/44712/ |
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