FUZZY NEURAL NETS.

The article focuses on architectural and learning issues of interaction between neural networks and fuzzy sets. It proposes a general taxonomy of hybrid fuzzy-neural topologies by studying various temporal and architectural aspects of this interaction. In the overall fuzzy set-neural network hybrid methodology, neural networks are providers of useful computational and learning facilities. There are various approaches spearheaded along the line of the development of neural networks with the intent of processing fuzzy information.