Based on the data envelopment analysis(DEA) method, the multi-attribute decision-making method based on Gini coefficient and cross efficiency is proposed for solving the multi-attribute decision-making problem with multiple inputs and outputs. Firstly, the method introduces the optimization criterion of Gini coefficient to construct the Gini coefficient and cross efficiency strategy model, which can be used to gain a relative unique DEA cross efficiency matrix. Then, the Gini criterion is used to calculate the information purity of each efficiency value for cross efficiency matrix aggregation. Finally, according to the results of aggregation, the decision-making units(DMUs) are ranked. The decision-making method not only overcomes the problem that the cross evaluation strategy is difficult to choose in the traditional DEA cross efficiency method, but also ensures the objectivity and fairness in the decision-making process. In addition, the method also can purify the information obtained by cross evaluation, so that more effective information is provided to make scientific and reasonable decisions. An empirical study on the allocation efficiency of medical resources in China is provided to illustrate the effectiveness and practicability of the proposed method.