In　this　paper,　the　quantitative　evaluation　of　the　explosion　effect　based　on　the　fuzzy　comprehensive　evaluation　method　is　proposed　to　describe　the　qualitative　evaluation　results.　The　selected　state　characteristic　parameters　are　expressed　by　two　kinds　of　membership　functions,　fuzzy　normal　and　triangular　distribution　membership　functions,　and　preliminary　evaluation　results　are　obtained.　The　validity　index　of　the　maximum　membership　principle　is　used　to　assess　the　accuracy　of　the　evaluation　results　of　two　algorithms,　and　a　relevant　approaching　degree　is　chosen　to　optimize　the　results.　The　entire　evaluation　process　selects　eleven　indicators　to　form　an　evaluation　set,　including　the　boulder　yield,　root　rate,　flying　distance　of　flyrock,　explosive　consumption,　postcracking　distance,　detonator　unit　consumption,　vibration　velocity,　loose　coefficient,　cast　distance,　throw　rate,　and　blasted　volume　per　meter　of　hole.　Part　of　the　indicator　parameters　are　derived　from　field　test　monitoring,　and　another　part　of　the　indicator　parameters　are　derived　from　numerical　simulation.　The　simulation　process　uses　the　user-defined　material　interface　function　provided　by　LS-DYNA.　And　the　numerical　model　of　slope　blasting　is　established　by　embedding　the　evolution　relationship　of　tensile　and　compressive　damage　into　the　elastoplastic　constitutive　material.　The　evaluation　method　proposed　in　this　paper　is　used　to　evaluate　the　postexplosion　effect　of　Zijin　Mountain　gold-copper　mine　slope　cast　blasting.　The　results　demonstrate　that　the　fuzzy　normal　distribution　membership　function　can　correlate　the　state　characteristic　information　and　evaluation　index　effectively,　and　the　working　condition　after　explosion　can　be　reflected　accurately.　Additionally,　the　influencing　factors　can　be　ranked　by　the　importance　degrees　according　to　the　calculated　value　of　the　evaluation　index.