We present a study on the identification of the systems of fuzzy relat
ional equations based on the identification of fuzzy systems by means
of max-min neural networks. Concretely two methods are developed which
combined more efficiently two previous ones: Sayto and Mukaidono's me
thod and the so-called smoothed derivative technique, already develope
d by us.