This　paper　introduces　an　Interval-Fuzzy　Possibilistic　Programming　(IFPP)　method　to　handle　uncertainties　expressed　as　interval　values　and　fuzzy　sets.　An　interactive　algorithm　is　advanced　for　solving　the　IFPP　model,　which　does　not　lead　to　more　complicated　intermediate　submodels　and　has　a　relatively　low　computational　requirement.　A　municipal　solid　waste　management　problem　is　then　studied　to　illustrate　applicability　of　the　proposed　approach.　The　results　indicate　that　reasonable　solutions　have　been　generated.　They　can　facilitate　the　generation　of　multiple　decision　alternatives,　as　well　as　provide　bases　for　in-depth　analyses　of　tradeoffs　among　system　cost,　possibility　degree,　and　constraint-violation　risk.