مدل منطق فازی برای پیش بینی نرخ ارز

Empirically, this paper employs three currency pairs as experimental datasets: JPY/USD, GBP/USD and CHF/USD. From the model verification, it is demonstrated that refined processes are effective in improving the forecasting of exchange rate movements. The author’s created model is characterised by high efficiency. These studies are among the world’s first attempts to combine fundamental analysis with fuzzy logic to predict exchange rates.