African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4150

Full Length Research Paper

Fuzzy-logic and Neural network Fuzzy forecasting of Iran GDP growth

  Mirnaser Mirbagheri  
Islamic Azad University, Ardebil branch, Ardebil, Iran. 
Email: [email protected]

  •  Accepted: 01 April 2010
  •  Published: 30 June 2010

Abstract

 

Investigating the effective factors which effect economic growth is important for most economists. Although lots of studies have been done on economic growth in the world, it gets little attentions in Iran. In this article, by estimating GDP growth, we try to investigate the supply side economic growth of Iran. Then we compare the predictive results of Fuzzy-logic and Neural-Fuzzy methods. And also by comparing the predictive results of methods for the average annual growth, it is predicted that (5.92%) in Neural-Fuzzy and (6.46%) in Fuzzy-logic in the related periods that is 2002 - 2006. And by comparing criteria it has been determined that, method Neural-Fuzzy predicts better than Fuzzy-logic method.  In other words, forecasting by the method Neural-Fuzzy is recommended.

 

Key words: Fuzzy neural network (FNN), Fuzzy-logic, forecasting, government, business, effective decisions, planning.