Aiming　at　the　problems　of　incomplete　information　and　insufficient　cognition　under　an　emergency　decision-making　environment,　the　interval-valued　hesitant　fuzzy　sets　can　fully　express　the　hesitation　and　fuzziness　of　decision-makers　in　the　information　evaluation　process.　However,　with　the　deepening　of　research,　it　is　found　that　it　has　the　defect　of　being　unable　to　ensure　the　quality　of　information.　Therefore,　this　paper　proposes　a　concept　of　basic　uncertain　information　interval-valued　hesitant　fuzzy　sets,　which　is　more　flexible　in　expressing　decision　information　and　more　consistent　with　the　requirements　of　practical　decision.　It　is　two-tuple　information　set　containing　an　interval-valued　hesitant　fuzzy　set　and　its　certainty　degree.　On　this　basis,　the　basic　uncertain　information　interval-valued　hesitant　fuzzy　weighted　average　operator,　hesitance　degree,　and　reliability　degree　are　defined,　and　then　the　expert　weights　adjustment　method　and　attribute　weights　determination　method　based　on　reliability　degree　are　proposed,　which　fully　consider　the　reliability　of　the　evaluation　information　provided　by　the　experts.　Finally,　the　generalized　TODIM　method　is　extended　to　the　basic　uncertain　information　interval-valued　hesitant　fuzzy　environment.　The　feasibility　of　the　proposed　method　is　proved　by　a　case　of　emergency　decision-making,　and　the　stability　and　effectiveness　of　the　proposed　method　are　verified　by　sensitivity　analysis　and　comparative　analysis.　©　2023　Northeast　University.　All　rights　reserved.