This　article　delves　into　the　investigation　of　attitude　control　for　a　tailless　flying-wing　unmanned　aerial　vehicle　(UAV),　considering　various　challenges　such　as　limited　communication　resources,　actuator　faults,　external　disturbances,　and　system　uncertainties.　Firstly,　an　improved　event-triggered　mechanism　is　developed,　which　significantly　reduces　the　communication　and　computation　resources.　Subsequently,　an　event-triggered　adaptive　fuzzy　fixed-time　fault-tolerant　control　scheme　is　presented　by　combining　backstepping　design.　The　presented　control　scheme　not　only　mitigates　control　system　chattering　but　also　eliminates　potential　singularity　issues　that　may　arise　during　recursive　design.　It　is　rigorously　demonstrated　that　the　designed　controller　guarantees　all　states　of　the　closed-loop　attitude　control　system　remain　bounded　and　will　converge　to　a　small　neighborhood　adjacent　to　the　origin　in　fixed　time,　regardless　of　the　initial　conditions,　while　excluding　Zeno　behavior.　Finally,　the　effectiveness　and　superiority　of　the　proposed　control　methodology　are　shown　through　the　comparative　numerical　simulations.