Authors
Title
Adaptive Neuro-Fuzzy Inference System Modeling for Forecasting Oil Consumption of Turkey
In
Journal of Multiple-Valued Logic and Soft Computing
Year
2015
Indexed by
Abstract
In this study, the interrelationship between oil consumption and economic
growth is examined via ANFIS modeling that is used to obtain long term
forecasting results for oil consumption of Turkey through predetermined
inputs, which are specified as population, gross domestic product (GDP),
import and export. The data samples from 1965 to 2000 are conducted for
developing the ANFIS model indicating the relationship between the oil
consumption and the four inputs. Triangular types of membership functions
are defined as low, medium and high for each input parameter in the ANFIS
prediction system. Afterwards, oil consumption of Turkey is predicted from
2012 to 2030 using double exponential forecasting technique. Hence, this
study can act as a guideline for long term forecasting of future oil consumption
of any other country.
Affiliations
Offprint