In the paper，we prove under some conditions，that the attractive basin of the attractor of min-max fuzzy Hopfield network increases when the connected weighted matrix decreases. In accordance with this conclusion，we design a learning algorithm based on the fault-tolerance of the network，the matrix obtained by the learning algorithm is minimum，consequently，the fault-tolerance of the network is optimal. Finally，the example demonstrates our conclusions.