Considering　the　problem　of　quantitative　evaluation　for　qualitative　survivability　data　and　indexes　of　network　information　systems,　the　proposed　method　gives　a　multi-level　survivability　evaluation　framework　based　on　cloud　model　theory　and　AHP　method.　The　algorithm　builts　a　multi-level　evaluation　indexes　system　and　compute　the　weight　of　each　index　using　AHP　method.　Moreover,　a　quantitative　method　for　qualitative　data　and　a　fuzzy　evaluation　method　are　designed　via　multidimensional　cloud　model.　Finally,　the　experimental　results　show　that　the　proposed　method　achieves　a　satisfactory　result　in　quantitative　evaluation　of　complex　qualitative　indexes,　and　has　certain　advantages　in　terms　of　accuracy　and　fuzzy　computing.