A fuzzy Kohonen´s feature map neural network with application to group technology

This paper proposes a novel fuzzy neural network for clustering the parts into several families. The proposed network, which has fuzzy inputs as well as fuzzy weights, integrates the Kohonen´s feature map neural network and the fuzzy set theory. The model evaluation results show that the proposed fuzzy neural network can provide more accurate decision compared to the fuzzy c-means algorithm and k-means algorithm