Seismic　landslide　is　an　unexpected　geological　disasters　type,　of　which　the　formation　and　development　is　influenced　and　controlled　by　many　factors　including　the　earthquake,　geology,　geomorphology　and　climate.　Its　characteristics　of　uncertainty,　ambiguity　and　complexity　make　the　prediction　of　its　risk　is　almost　impossible　via　single　evaluating　factor.　Based　on　the　idea　of　information　fusion,　this　paper　proposed　a　methodology　for　predicting　seismic　landslide　using　the　evidence　theory　which　can　reflect　the　comprehensive　influences　of　different　factors.　Six　indices　related　to　the　occurrence　condition　of　seismic　landslide　are　taken　into　account　as　evidences　in　the　proposed　method,　including　the　coefficient　of　rock　weathering,　earthquake　intensity,　fault　density,　drainage　density,　relative　height　and　the　mountain　slope.　The　basic　reliability　is　objectively　constructed　using　entropy　weight　grey　incidence.　The　seismic　landslide　prediction　model　is　built　by　evidence　theory　and　entropy　weight　grey　incidence.　Prediction　results　of　several　practical　cases　show　that　the　method　has　relatively　high　accuracy.　Because　of　its　reliability　and　rationality,　this　method　can　meet　the　planning　on　earthquake　resistance　and　hazardous　prevention　generally.　©　2014　ejge.