Both neural networks and fuzzy:logic systems exhibit human-like mental
processing. The similarities and dissimilarities of these two technol
ogies, such as mold-layer operations of neural networks and max-min op
eration in fuzzy logic systems, make apparent that there are advantage
s to combining them. However, this was not done until the late 1980's.
Surveying the literature revealed eight different approaches to combi
ning the merits of fuzzy logic systems and neural networks.