The　classical　TODIM　method　solves　problems　by　expressing　the　attribute　values　as　crisp　numbers,　thus　incurring　information　loss.　This　paper,　noting　the　ambiguity　and　fuzziness　of　information　especially　in　a　probabilistic　hesitant　fuzzy　environment,　develops　a　TODIM　dynamic　emergency　decision-making　method　based　on　hybrid　weighted　distance.　This　method　is　suitable　for　emergency　decision-making　as　it　supports　the　rapidity　and　evolving　nature　of　emergency　responses,　and　accommodates　the　uncertainty　of　the　external　environment.　A　case　study　of　a　huge　fire　in　China　is　used　to　validate　the　proposed　method.　The　proposed　TODIM　method　outperforms　the　methods　proposed　by　Gao　et　al.　in　Int.　J.　Fuzzy.　Syst.　19(5),　1261-1278　(2017)　and　Zhang　et　al.　in　Syst.　61,　48-58　(2014),　suggesting　its　appeal　in　dealing　with　fuzzy　information　during　emergency　decision-making.