The concept of intuitional fuzzy sets (IFSs) is of a generalization and development to the concept of Zadeh fuzzy sets. The theory of IFSs is well suited to dealing with the vagueness problems of the real world. Based on IFSs theory, multi-attribute decision making problems are analyzed. To overcome the shortcomings of the present score function method and distance method, new methods of score function and improved TOPSIS are presented. The numerical examples are given to show the effectiveness of the methods presented in this paper.