Aiming　at　solving　the　difficult　problem　of　inconsistent　single-method　evaluation　results　in　comprehensive　disaster　risk　assessment,　this　paper　presents　an　evaluation　method　based　on　a　combination　of　the　ranking　value　and　the　evaluation　value.　First,　the　seven　methods　of　the　fuzzy　comprehensive　evaluation　(FCE),　the　set　pair　analysis　(SPA),　the　improved　grey　target　analysis　(IGT),　the　fuzzy　stochastic　simulation　(FSS),　the　grey　relational　degree　analysis　(GRA),　the　extension　matter　element　evaluation　(EME),　and　the　technique　for　order　preference　by　similarity　to　an　ideal　solution　(TOPSIS)　are　used　to　conduct　urban　comprehensive　disaster　risk　assessment.　Second,　to　ensure　the　degree　of　correlation　between　individual　evaluation　methods　and　make　full　use　of　more　information　to　achieve　the　purpose　of　complementary　advantages,　the　Kendall　synergy　coefficient,　the　Spearman　rank　correlation　coefficient,　and　the　comprehensive　support　coefficient　are　used　as　the　single-method　compatibility　consistency　test　standards.　The　combined　evaluation　methods　of　the　cyclic　correction　model　and　support　model　are　used　to　combine　the　single　evaluation　results,　and　the　highly　coordinated　comprehensive　disaster　risk　ranking　value　and　evaluation　value　are　obtained　through　repeated　tests,　thus　constructing　a　highly　scientific　and　reasonable　dual　combination　evaluation　model.　Finally,　through　analysis　and　comparison　of　the　final　combined　ranking　and　evaluation　values　of　31　provinces,　municipalities　directly　under　the　central　government　and　autonomous　regions　in　China　under　the　dual　combination　mode,　it　is　verified　that　the　dual　combination　idea　can　obtain　evaluation　results　with　high　convergence　and　credibility,　solve　the　problem　of　inconsistent　evaluation　results　of　multiple　methods,　provide　a　new　research　idea　and　method　for　measuring　the　comprehensive　disaster　risk　of　cities,　and　provide　a　scientific　basis　for　efficiently　serving　comprehensive　risk　prevention　management　and　various　urban　planning　and　construction　work.