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Short-term Forecasting of Air Passengers based on Hybrid Rough Set and Double Exponential Smoothing Models


This article focuses on the use of rough set theory in the modeling of time series forecasting. In this paper, we have used double exponential smoothing (DES) model for forecasting. The classical DES model has been improved by using the rough set technique. The improved double exponential smoothing (IDES) method can be used for the time series data without any statistical assumptions. The proposed method is applied on tourism demand of air transportation passenger data set in Australia and the results are compared with classical DES model. It has been observed that he forecasting accuracy of the proposed model is better than that of the classical model.



Total Pages: 13


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ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present

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