At　present,　the　weights　of　most　evaluation　indexes　in　fuzzy　analysis　methods　of　rock　slope　are　a　fixed　value.　However,　the　influence　of　the　evaluation　indexes　on　slope　stability　actually　remains　uncertain　and　fuzzy.　As　a　result,　if　only　the　fixed　weights　are　employed,　it　will　disagree　with　the　reality.　To　overcome　the　current　problem,　the　cloud　model　method　was　introduced　in　the　paper.　In　addition,　the　analytic　hierarchy　process　(AHP)　method　for　group　decision　based　on　confidence　indexes　was　proposed　to　construct　the　cloud　model　of　weight.　In　the　meanwhile,　the　evaluation　indexes,　grading　standards,　grading　intervals　and　cloud　model　characteristic　parameters　were　determined　by　referring　to　the　recommended　China＇s　industry　standards　and　the　experiences　of　previous　researchers.　On　this　basis,　an　application　program　was　developed　using　Python　language.　The　application　was　applied　in　the　stability　evaluation　of　a　rock　slope　in　Donghu　Town,　Lianjiang　County,　Fujian　Province,　China.　According　to　the　results,　the　slope　was　generally　stable,　but　very　unstable　in　some　local　areas.　The　result　was　highly　or　basically　consistent　with　the　result　of　CSMR,　FLAC,　AHP-TOPSIS,　FSMR,　or　Fuzzy-AHP　method　as　well　as　the　actual　situation　on　site,　confirming　the　effectiveness　of　this　evaluation　method.