|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 109 - Issue 13 |
| Published: January 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
@article{ 10.5120/19246-0604,
author = { Raafat Fahmy,Hegazy Zaher,Abd Elfattah Kandil },
title = { A Comparison between Fuzzy Inference Systems for Prediction (with Application to Prices of Fund in Egypt) },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 109 },
number = { 13 },
pages = { 6-11 },
doi = { 10.5120/19246-0604 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Raafat Fahmy
%A Hegazy Zaher
%A Abd Elfattah Kandil
%T A Comparison between Fuzzy Inference Systems for Prediction (with Application to Prices of Fund in Egypt)%T
%J International Journal of Computer Applications
%V 109
%N 13
%P 6-11
%R 10.5120/19246-0604
%I Foundation of Computer Science (FCS), NY, USA
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.