For dealing with seriously conflicting evidence when the D-S evidence theory can not identify the actual conditions, revising mass fusion based methods consider improving focusing degree of combination results more, but they don’t consider the reason for conflict between evidences and how to effectively reduce the conflict between evidences by revision according to the real reason for conflict. Therefore, the grey fuzzy multi-attribute decision-making(MADA) method is presented in the closed world. Firstly, a kind of similar degree between two interval grey numbers is established by combining the Euclidean distance with grey correlation degree to appraise the scheme. Then, the average similar degree is constructed. Furthermore, the alternatives are ranked by using the average similar degree. Illustrative numerical examples show the feasibility and effectiveness of the proposed method.