various applications, there is an increasing interest on augmenting them with learning
capabilities. Two of the most successful approaches to hybridise fuzzy systems with
adaptation methods have been made in the realm of soft computing: neuro-fuzzy systems
and genetic fuzzy systems hybridise the approximate reasoning method of fuzzy systems
with the learning capabilities of neural networks and evolutionary algorithms. The article …