Multi-attribute　group　emergency　decision　making　(MAGEDM)　has　become　a　valuable　research　topic　in　the　last　few　years　due　to　its　effectiveness　and　reliability　in　dealing　with　real-world　emergency　events　(EEs).　Dynamic　evolution　and　uncertain　information　are　remarkable　features　of　EEs.　The　former　means　that　information　related　to　EEs　is　usually　changing　with　time　and　the　development　of　EEs.　To　make　an　effective　and　appropriate　decision,　such　an　important　feature　should　be　addressed　during　the　emergency　decision　process;　however,　it　has　not　yet　been　discussed　in　current　MAGEDM　problems.　Uncertain　information　is　a　distinct　feature　of　EEs,　particularly　in　their　early　stage;　hence,　experts　involved　in　a　MAGEDM　problem　might　hesitate　when　they　provide　their　assessments　on　different　alternatives　concerning　different　criteria.　Their　hesitancy　is　a　practical　and　inevitable　issue,　which　plays　an　important　role　in　dealing　with　EEs　successfully,　and　should　be　also　considered　in　real　world　MAGEDM　problems.　Nevertheless,　it　has　been　neglected　in　existing　MAGEDM　approaches.　To　manage　such　limitations,　this　study　intends　to　propose　a　novel　MAGEDM　method　that　deals　with　not　only　the　dynamic　evolution　of　MAGEDM　problems,　but　also　takes　into　account　uncertain　information,　including　experts＇　hesitation.　A　case　study　is　provided　and　comparisons　with　current　approaches　and　related　discussions　are　presented　to　illustrate　the　feasibility　and　validity　of　the　proposed　method.