International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 109 - Number 13 |
Year of Publication: 2015 |
Authors: Raafat Fahmy, Hegazy Zaher, Abd Elfattah Kandil |
10.5120/19246-0604 |
Raafat Fahmy, Hegazy Zaher, Abd Elfattah Kandil . A Comparison between Fuzzy Inference Systems for Prediction (with Application to Prices of Fund in Egypt). International Journal of Computer Applications. 109, 13 ( January 2015), 6-11. DOI=10.5120/19246-0604
This paper outlines the basic differences between the Fuzzy logic techniques, including Mamdani , Sugeno fuzzy inference system models and Adaptive Neuro-Fuzzy Inference System (ANFIS) . The main motivation behind this research is to assess which approach provides the best performance for predicting prices of Fund. Due to the importance of performance in Economy, the Mamdani , Sugeno models and ANFIS are compared with the actual values. Fuzzy inference systems (Mamdani , Sugeno and ANFIS fuzzy models ) can be used to predict the weekly prices of Fund for the Egyptian Market. The application results indicate that (ANFIS) model is better than that of Mamdani and Sugeno . The results of the three fuzzy inference systems (FIS) are compared.