Abstract: Weighted methods are designed for improving Shell Neighbor Imputation, Called WSNI. They utilize the features of nearest neighbor selection of the WSNI. All multiple-selected nearest neighbors are stressed in the WSNI algorithms. This lads to pretty good performance.Experimental results show that the porposed algorithms have better performances than conventional neighbor imputation method.