A　multi-variable　direct　self-organizing　fuzzy　neural　network　control　(M-DSNNC)　method　is　proposed　for　the　multi-variable　control　of　the　wastewater　treatment　process　(WWTP).　In　this　paper,　the　proposed　control　system　is　an　essential　multi-variable　control　method　for　the　WWTP.　No　exact　plant　model　is　required,　which　avoids　the　difficulty　of　establishing　the　mathematics　model　of　WWTP.　The　M-DSNNC　system　is　comprised　of　a　fuzzy　neural　network　controller　and　a　compensation　controller.　The　fuzzy　neural　network　is　used　for　approximating　the　ideal　control　law　under　a　general　nonlinear　system.　Moreover,　the　neural　network　is　designed　in　a　self-organizing　mode　to　adapt　the　uncertainty　environment.　Simulation　results,　based　on　the　international　benchmark　simulation　model　No.1　(BSM1),　demonstrate　that　the　control　accuracy　is　improved　under　the　proposed　M-DSNNC　method,　and　the　controller　has　a　much　stronger　decoupling　ability.