Introducing a new hybrid modelling for forecasting

The purpose of this book is to introduce a new hybrid modelling to predict carbon dioxide emissions in order to make the correct decision to reduce air pollution in Iran. While there are not many data available for some variables, in this modeling, the goal is to make accurate predictions even with low data. In the present book, CO2 emissions in Iran in the period of 1980-2014 was predicted using three models of Auto-Regressive Distributed Lag (ARDL), Fuzzy Linear Regression (FLR) and hybrid model based on a combination of ARDL and FLR models, and then the prediction accuracy of the models is compared.