Furnace　temperature　plays　a　pivotal　role　in　ensuring　the　stability　of　municipal　solid　waste　incineration　(MSWI),　influenced　by　variable　factors　such　as　material　composition,　feeding　patterns,　and　equipment　operation.　We　introduce　an　interval　type-2　fuzzy　neural　network　(IT2FNN)　control　method.　Initially,　we　analyze　furnace　temperature　control　characteristics　to　identity　crucial　operating　variables.　Subsequently,　we　construct　a　multiple-input　single-output　(MISO)　model　for　furnace　temperature　using　the　linear　regression　decision　tree　(LRDT)　algorithm.　Finally,　we　develop　an　IT2FNN-based　controller　for　furnace　temperature.　The　effectiveness　of　our　proposed　method　is　confirmed　through　control　experiments　using　actual　MSWI　process　data.　©　2024　IEEE.