In　the　process　of　municipal　solid　waste　incineration　(MSWI),　the　stability　of　furnace　temperature　determines　the　running　safety　and　pollution　emission　level.　The　furnace　temperature　is　influenced　by　different　uncertainty　fluctuations　and　strong　interference.　This　makes　it　difficult　to　effectively　control　using　the　PID　algorithm.　Aiming　at　the　above　problems,　an　adaptive　TS　fuzzy　neural　network　(FNN)　furnace　control　method　based　on　the　furnace　temperature　model　is　proposed.　First,　the　furnace　temperature　model　based　on　the　linear　regression　decision　tree　(LRDT)　algorithm　is　established.　It　is　multiple　inputs　and　a　single　output.　Then,　the　control　algorithm　based　on　an　adaptive　TSFNN　controller　is　designed.　Finally,　a　simulation　experiment　is　carried　out.　It　is　based　on　the　actual　data　from　an　MSWI　plant　in　Beijing.　The　results　show　that　the　proposed　method　performs　well　in　the　accuracy　a　nd　adaptive　ability　of　furnace　temperature　control.