After　an　emergency　event　(EE)　happens,　emergency　decision　making　(EDM)　is　a　common　and　effective　way　to　deal　with　the　emergency　situation,　which　plays　an　important　role　in　mitigating　its　level　of　harm.　In　the　real　world,　it　is　a　big　challenge　for　an　individual　emergency　manager　(EM)　to　make　a　proper　and　comprehensive　decision　for　coping　with　an　EE.　Consequently,　many　practical　EDM　problems　drive　group　emergency　decision　making　(GEDM)　problems　whose　main　limitations　are　related　to　the　lack　of　flexibility　in　knowledge　elicitation,　disagreements　in　the　group　and　the　consideration　of　experts＇　psychological　behavior　in　the　decision　process.　Hence,　this　paper　proposes　a　novel　GEDM　approach　that　allows　more　flexibility　for　preference　elicitation　under　uncertainty,　provides　a　consensus　process　to　avoid　disagreements　and　considers　experts＇　psychological　behavior　by　using　the　fuzzy　TODIM　method　based　on　prospect　theory.　Eventually,　a　group　decision　support　system　(GDSS)　is　developed　to　support　the　whole　GEDM　process　defined　in　the　proposed　method　demonstrating　its　novelty,　validity　and　feasibility.　©　2018　by　the　author.