This　paper　proposes　a　novel　asynchronous　control　technique,　namely　asynchronously　intermittent　sampled-data　decentralized　control　(AISDC),　to　address　the　stability　issue　of　fuzzy　stochastic　coupled　systems　(FSCSs)　with　regime-switching　jump　diffusions　(RSJD).　Unlike　the　traditional　intermittent　control　strategy,　AISDC　incorporates　sampled-data　control　to　regulate　the　control　intensity　after　selecting　discrete　sampling　node　observations　in　the　controller＇s　work　interval,　which　reduces　the　frequency　of　updating　the　controller＇s　output　control　intensity　and　subsequently　saves　energy　consumption.　Moreover,　compared　to　synchronous　control,　AISDC　is　more　flexible　as　an　asynchronous　control　that　eliminates　the　strict　time　synchronization　requirement　between　systems　and　thus　can　better　adapt　to　the　network　heterogeneity.　In　addition,　fuzzy　factors　and　RSJD　are　considered　in　stochastic　coupled　systems,　which　enhance　the　generality　of　systems.　Then,　based　on　graph　theory　and　Lyapunov　method,　theoretical　results　are　presented　to　ensure　the　stability　of　FSCSs　with　RSJD.　In　particular,　we　successfully　utilize　AISDC　to　study　the　stability　problem　of　fuzzy　stochastic　coupled　oscillators　and　some　sufficient　conditions　are　given.　Finally,　two　numerical　examples　are　provided　to　demonstrate　the　effectiveness　and　practicability　of　the　main　results.　©　2025　Elsevier　B.V.