Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate

This paper presents a novel application of the interval type-1 non-singleton type-2 fuzzy logic system (FLS) for one step ahead prediction of the daily exchange rate between Mexican Peso and US Dollar (MXNUSD) using the recursive least-squared (RLS)-back-propagation (BP) hybrid learning method. Experiments show that the exchange rate is predictable. A non-singleton type-1 FLS and an interval type-1 non-singleton type-2 FLS, both using only BP learning method, are used as a benchmarking systems to compare the results of the hybrid interval type-1 non-singleton type-2 FLS (RLS-BP) forecaster.