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.　©　2021,　Taiwan　Fuzzy　Systems　Association.