Purpose　The　Chinese　believe　that　＂man　will　conquer　the　sky＂　and　＂fighting　with　the　sky　brings　endless　joy＂.　Considering　that　disaster　assessment　can　be　regarded　as　a　two-person,　zero-sum　game　problem　between　nature　and　human　beings,　this　paper　proposes　a　multi-attribute　decision-making　method　based　on　game　theory　and　grey　theory　in　a　single-value　neutrosophic　set　environment.　Due　to　the　complexity　and　uncertainty　of　the　decision-making　environment,　the　method　builds　a　decision　matrix　based　on　single-valued　neutrosophic　numbers.　Design/methodology/approach　First,　the　authors　use　the　single-value　neutrosophic　information　entropy　to　calculate　the　attribute　weights　and　the　weighted　decision　matrix.　Second,　the　optimal　mixed　strategy　method　based　on　linear　programming　solves　the　optimal　mixed　strategy　for　both　sides　of　the　game　so　that　the　expected　payoff　matrix　can　be　obtained.　Finally,　grey　correlation　analysis　is　used　to　obtain　the　closeness　coefficient　of　each　alternative　based　on　the　expectation　payoff　matrix　to　identify　the　ranking　result　of　the　alternative.　Findings　An　example　is　used　to　verify　the　effectiveness　of　the　proposed　method,　and　its　rationality　is　verified　through　a　comprehensive　comparison　and　analysis　of　the　various　aspects.　Practical　implications　The　proposed　decision-making　method　can　be　applied　to　typhoon　disaster　assessment.　Such　assessment　results　can　provide　intelligent　decision　support　to　the　relevant　disaster　management　departments,　thereby　reducing　the　negative　impact　of　typhoon　disasters　on　society,　stabilizing　society　and　improving　people＇s　happiness.　Further,　the　method　can　be　used　for　decision-making,　recommendation　and　evaluation　in　other　fields.　Originality/value　The　proposed　method　uses　single-value　neutrosophic　numbers　to　solve　the　information　representation　problem　of　decision-making　in　a　complex　environment.　Under　a　new　perspective,　game　theory　is　used　to　handle　the　decision　matrix,　while　grey　relational　analysis　converts　inexact　numbers　to　exact　numbers　for　comparison　and　sorting.　Thus,　the　proposed　method　can　be　used　to　make　reasonable　decisions　while　preserving　information　to　the　extent　possible.