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...

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Bibliographic Details
Main Authors: Maizatul Akhmar Jafridin, Nur Fatihah Fauzi, Rohana Alias, Huda Zuhrah Ab Halim, Nurizatul Syarfinas Ahmad Bakhtiar, Nur Izzati Khairudin, Nor Hayati Shafii
Format: Article
Language:English
Published: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2021-09-01
Series:Journal of Computing Research and Innovation
Subjects:
Online Access:https://crinn.conferencehunter.com/index.php/jcrinn/article/view/235