Prediction　of　rock　burst　is　a　complex　system　problem　of　uncertainty.　For　the　sake　of　accurate　evaluation　of　the　estate　of　rock　burst,　providing　a　scientific　basis　for　the　prevention　of　rock　burst,　this　paper　brings　forward　a　prediction　method　for　rock　burst　based　on　the　fractal　interpolation　theory.　First,　three　key　factors　are　chosen　to　construct　the　model.　In　addition,　because　of　few　standard　samples,　forty　standard　samples　are　produced　by　the　way　of　stochastic　interpolation　on　the　basis　of　classification　standard.　Second,　by　calculating　the　fractal　dimension　of　single　index　of　rock　burst,　the　fractal　dimension　exponent　evaluation　of　the　index　of　single　rock　burst　is　confirmed　with　the　maximum　likelihood　classification　principle.　Third,　using　the　weighted　summation　value　method,　the　level　of　the　colligate　estimation　of　multi-index　of　rock　burst　is　calculated　and　the　fractal　interpolation　evaluation　model　is　established　according　to　the　relationship　between　the　value　of　comprehensive　evaluation　of　the　samples　and　the　experience　level.　Finally,　some　samples　are　classified　based　on　the　model.　The　classification　results　are　consistent　with　those　from　other　methods.　Results　show　that　evaluation　of　the　fractal　interpolation　model　is　reasonable　and　objective,　and　it　has　better　reliability　and　stability　to　provide　a　new　research　method　and　idea　for　rock　burst　prediction.