To address the problem about the uncertainty of decision-making factors and the vague of judgement in the evaluation of intelligent planning of distribution network, this paper proposes an evaluation method of intelligent planning for distribution network based on interval preference and MADM. Firstly, the attributes hierarchy and the decision table about plan attributes are established. Next, the interval preference relationships between any two plan attributes are built. After that, the relative weights of each plan attributes are calculated according to the preference relations. Finally, according to the attribute hierarchy, the comprehensive weight of each plan to the total evaluation target is obtained, and the final decision result is produced. Combining expert experience and quantitative calculation, the method proposed deals with rationally the uncertainty of decision factors and vague of judgement, and simplifies the steps to evaluation decisions. Experimental result shows that the method proposed is feasible and effective, and its dipartite degree about the sort result is higher than that of the analytic hierarchy method. This work is supported by National Natural Science Foundation of China (No.51467007).