This　paper　studies　the　adaptive　fuzzy　resilient　fixed-time　bipartite　consensus　tracking　control　problem　for　a　class　of　nonlinear　multi-agent　systems　(MASs)　under　sensor　deception　attacks.　Firstly,　in　order　to　reduce　the　impact　of　unknown　sensor　deception　attacks　on　the　nonlinear　MASs,　a　novel　coordinate　transformation　technique　is　proposed,　which　is　composed　of　the　states　after　being　attacked.　Then,　in　the　case　of　unbalanced　directed　topological　graph,　a　partition　algorithm　(PA)　is　utilized　to　implement　the　bipartite　consensus　tracking　control,　which　is　more　widely　applicable　than　the　previous　control　strategies　that　only　apply　to　balanced　directed　topological　graph.　Moreover,　the　fixed-time　control　strategy　is　extended　to　nonlinear　MASs　under　sensor　deception　attacks,　and　the　singularity　problem　that　exists　in　fixed-time　control　is　successfully　avoided　by　employing　a　novel　switching　function.　The　developed　distributed　adaptive　resilient　fixed-time　control　strategy　ensures　that　all　the　signals　in　the　closed-loop　system　are　bounded　and　the　bipartite　consensus　tracking　control　is　achieved　in　fixed　time.　Finally,　the　designed　control　strategy＇s　validity　is　demonstrated　by　means　of　a　simulation　experiment.