In order to improve the accuracy of precipitation interpolation and fully explore the information regarding precipitation variables, fuzzy entropy clustering(FEC)was carried out at rain gauge stations in a basin. A clustering validity function, based on possibility distribution and distance determination, was used to determine the fuzzy entropy coefficient and the number of clusters, so as to obtain the fuzzy clustering results and improve the original interpolation method. Based on data from 99 rain gauge stations located above the Bengbu Station in the Huaihe River Basin, cross validation was conducted under non-clustering and FEC conditions. The results demonstrate that FEC improves the precipitation accuracy in the inverse distance squared interpolation method.