Haresh Kumar Sharma, Kriti Kumari, Samarjit Kar
Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 1-14, 2019, DOI:10.31209/2018.100000036
Abstract This article focuses on the use of the rough set theory in modeling of time series
forecasting. In this paper, we have used the 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 the air transportation passenger data set in
Australia and the results are compared with the classical DES model. It has been
observed that the forecasting accuracy of the… More >
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