Addressing　the　challenge　that　it　is　difficult　to　effectively　control　the　furnace　temperature　in　the　municipal　solid　waste　incineration　(MSWI)　process,　a　furnace　temperature　control　method　based　on　interval　type-域　fuzzy　neural　network　(IT2FNN)　is　proposed.　First,　the　furnace　temperature　control　characteristics　were　analyzed　to　determine　the　key　operating　variables　that　affect　it.　Subsequently,　according　to　the　above　operational　variables,　a　multiple-input　single-output　(MISO)　furnace　temperature　model　was　fomulated　based　on　the　linear　regression　decision　tree　(LRDT).　Finally,　an　IT2FNN　controller　with　adaptive　parameter　learning　was　developed　and　its　stability　was　proven.　The　experimental　results　of　model　construction　and　control　on　the　MSWI　process　dataset　confirm　the　efficacy　of　the　proposed　method.　©　2025　Beijing　University　of　Technology.　All　rights　reserved.