In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced and its application in forecasting the three perspectives (1, 2 and 4 weeks) ahead of Iran’s rice, poultry and egg retail price was compared with ARIMA as the most common econometrics linear forecasting method. Through it, the weekly data collected from the website of Iran State Livestock Affairs Logistics and Country Welfare Big-store related to 2002/3/21-2008/6/21, and forecast performance measures such as; R2, MAD and RMSE were used. Results of models performance evaluation showed that the forecasted test data related to ANFIS designed architects have more correspondence with the real data in comparison with the ARIMA forecasted out of sample data. Therefore, the non-linear ANFIS model outperforms the linear ARIMA model for all considered perspectives and agricultural products retail price.
Fahimifard, S. M., Salarpour, M., & Sabouhi, M. (2010). Application of ANFIS in Comparison with ARIMA Model to Agricultural Products Retail Price Forecasting. Agricultural Economics, 4(2), 165-183.
MLA
Seyed Mohammad Fahimifard; Mashaallah Salarpour; Mahmood Sabouhi. "Application of ANFIS in Comparison with ARIMA Model to Agricultural Products Retail Price Forecasting". Agricultural Economics, 4, 2, 2010, 165-183.
HARVARD
Fahimifard, S. M., Salarpour, M., Sabouhi, M. (2010). 'Application of ANFIS in Comparison with ARIMA Model to Agricultural Products Retail Price Forecasting', Agricultural Economics, 4(2), pp. 165-183.
VANCOUVER
Fahimifard, S. M., Salarpour, M., Sabouhi, M. Application of ANFIS in Comparison with ARIMA Model to Agricultural Products Retail Price Forecasting. Agricultural Economics, 2010; 4(2): 165-183.
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