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.　©　2018,　Editorial　Office　of　Control　and　Decision.　All　right　reserved.