Effective　resilience　training　can　prevent　early　post-traumatic　stress　disorder,　but　limitations　in　emotion　induction　and　recognition　make　it　extremely　challenging.　Thus,　this　paper　presents　a　fear　mental　resilience　training　that　uses　virtual　reality　exposure　therapy　and　introduces　two　key　techniques　-　construction　of　virtual　scenarios　and　dynamic　weighted　decision　fusion.　Firstly,　virtual　reality　(VR)　is　proposed　to　construct　three　disaster　scenarios　to　induce　different　level　of　fear　emotion　and　combining　VR　with　stroop　test　to　improve　ecological　validity.　Then,　three　different　weights　are　designed　by　analyzing　the　modal　and　cross-modal　information　to　establish　a　fear　emotion　classification　model　based　on　dynamic　weighted　decision　fusion.　Finally,　combining　VR　scenarios　with　exposure　therapy　to　achieve　progressive　fear　resilience　training.　And　evaluate　the　training　effect　according　to　the　individual＇s　emotional　state　and　stroop　performance　level.　The　results　demonstrate　the　designed　VR　scenarios　can　effectively　induce　fear,　the　proposed　data　fusion　method　realizes　dynamic　weighted　fusion　according　to　the　weight　design,　effectively　integrates　multimodal　data　information,　thereby　improving　the　classification　performance　of　the　model.　And　the　mental　resilience　training　based　on　VR　and　dynamic　weighted　decision　fusion　methods　is　of　great　significance　for　enhancing　the　mental　resilience　of　the　subjects.　　©　2023　IEEE.