@Article{2018.100000036,
AUTHOR = {Haresh Kumar Sharma, Kriti Kumari, Samarjit Kar},
TITLE = {Short-term Forecasting of Air Passengers Based on the Hybrid Rough Set and the Double Exponential Smoothing Model},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {1},
PAGES = {1--14},
URL = {http://www.techscience.com/iasc/v25n1/39637},
ISSN = {2326-005X},
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 proposed model is better than that of the 
classical DES model.},
DOI = {10.31209/2018.100000036}
}