Comparison of Fuzzy Time Series and ARIMA to Forecast Tourist Arrivals to Homestay in Pahang
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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2021-09-01
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Series: | Journal of Computing Research and Innovation |
Subjects: | |
Online Access: | https://crinn.conferencehunter.com/index.php/jcrinn/article/view/235 |