A comparison of fuzzy time series and ARIMA to forecast tourist arrivals to homestay in Pahang / Maizatul Akhmar Jafridin ... [et al.]
Predictions of future events must be incorporated into the decision-making process. For tourism demand, forecasting is very important to help directors and investors to make decisions in operational, tactical, and strategic decisions. This study focuses on forecasting performance between Fuzzy Time...
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Formato: | Livro |
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UiTM Cawangan Perlis,
2021.
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Internet
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A1234.567 |
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Cód. Barras: 1 | Disponível |