HAIS 2008: Hybrid Artificial Intelligence Systems pp 575-582 | Cite as
Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate
Conference paper
Abstract
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.
Keywords
Type-2 fuzzy inference systems type-2 neuro-fuzzy systems hybrid learning uncertain rule-based fuzzy logic systems Download
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