Fuzzy time series theory application for tourism demand Online publication date: Thu, 04-Oct-2018
by Tsung-Yu Chou; Ming-Tao Chou; An-Chi Liu
International Journal of Services, Economics and Management (IJSEM), Vol. 8, No. 3, 2017
Abstract: This paper offers a study of Taiwan's tourism data in order to establish a fuzzy time series model that can be used to analyse the relationship between remuneration and future tourist arrival rates of change. The results of the analysis are as follows: (a) the model showed that the predictive value of the 2015 tourist is 8,694,639 and its trading range fluctuates (2,551,595, 8,694,639); (b) the tourist index rate of return remains positive, and the prediction error within the group averages 0.24%; an error range of less than 5% indicates a good prediction model, and suggests that this paper can serve as a useful reference to stakeholders.
Online publication date: Thu, 04-Oct-2018
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