Identifying　the　critical　factors　and　their　interrelationships　plays　a　critical　role　in　system　analysis.　Fuzzy　DEMATEL　method　is　one　of　the　popular　techniques　widely　applied　to　identify　the　critical　factors　and　analyze　the　interrelationship　among　them　under　fuzzy　and　uncertain　environment.　Different　information　types　are　often　used　to　describe　given　problems　in　the　real　world,　similar　to　how　experts　express　their　assessments　due　to　their　diverse　knowledge　backgrounds　or　individual　preferences.　However,　in　existing　fuzzy　DEMATEL　studies,　experts　are　allowed　to　use　only　a　single　information　type　to　express　their　assessments,　which　cannot　reflect　the　real-world　situations.　Additionally,　dynamic　evolution　is　a　typical　feature　of　practical　problems.　Factors　associated　with　these　problems,　including　critical　factors,　might　change　and　update　alongside　this　dynamic　evolution.　Nevertheless,　such　dynamic　evolution　has　not　been　considered　in　existing　fuzzy　DEMATEL　studies.　To　address　the　issues　of　heterogeneous　information　and　dynamic　evolution,　this　study　proposes　a　novel　method　based　on　fuzzy　DEMATEL　that　considers　both　dynamic　evolution　and　heterogeneous　information.　The　dynamic　evolution　is　described　not　only　from　the　perspective　of　time　changes,　but　also　information　updates.　The　heterogeneous　information　includes　numerical　values,　interval　values,　linguistic　information,　and　hesitant　fuzzy　linguistic　term　information.　The　proposed　method　consists　of　five　parts　including　problem　definition,　information　gathering,　information　transformation,　information　aggregation,　and　dynamic　critical　factors　identification.　A　reasonable　way　based　on　alpha-level　sets　is　employed　to　handle　the　aggregated　fuzzy　information,　and　dynamic　degrees　of　different　factors　at　each　moment　are　calculated　for　critical　factors　identification.　A　numerical　example,　related　discussions,　and　comparison　analysis　are　provided　to　demonstrate　the　novelty　and　superiority　of　the　proposed　method.　©　2024　Elsevier　Ltd