Municipal　solid　waste　incineration　(MSWI)　process　produces　a　type　of　highly　toxic　and　persistent　pollutant,　i.e.,　Dioxins　(DXN),　which　has　tremendous　realistic　and　potential　hazards　to　the　ecological　environment　and　human　health.　It　is　very　important　for　optimizing　operation　of　MSWI　process　and　controlling　urban　pollution　in　terms　of　realization　of　continuous　real-time　measurement　of　DXN　emission　concentration.　The　generation　mechanism　of　DXN　is　very　complex.　Thus,　there　is　a　complex　non-linear　mapping　relationship　between　DXN　and　input/output　variables　of　MSWI　process.　Aim　at　these　problems,　a　soft　measuring　method　of　DXN　emission　concentration　based　on　feature　selection　and　selective　ensemble　strategy　is　proposed.　Firstly,　the　process　variables　of　easy-to-measure　are　matched　to　obtain　the　modeling　sample　with　characteristics　of　small　sample　and　high　dimension.　Then,　the　variable　projection　importance　(VIP)　value　based　on　linear　projection　to　latent　structure　algorithm　and　input　feature　selection　ratio　based　on　expert　experience　are　used　to　select　the　input　features.　At　last,　by　using　ensemble　construction　strategy　based　on　manipulating　training　sample　with　characteristic　of　adaptive　select　kernel　parameter　is　constructed.　The　proposed　method　is　simulated　and　validated　by　using　the　data　of　DXN　emission　concentration　in　reference　and　actual　MSWI　process.　©　2021,　Editorial　Department　of　Control　Theory　&　Applications　South　China　University　of　Technology.　All　right　reserved.