An　interval-fuzzy　two-stage　stochastic　programming　model　for　filter　management　of　hydraulic　system　under　uncertainties　is　proposed　in　this　paper.　The　interval-fuzzy　two-stage　stochastic　programming　model　integrates　the　two-stage　stochastic　programming,　fuzzy　programming,　and　interval　parameter　nonlinear　programming　into　an　optimization　model　of　contamination　control　in　hydraulic　system.　For　a　typical　hydraulic　system,　it　can　be　used　for　expressing　the　uncertainties　existed　in　the　purchase　cost　of　filters,　contamination　ingression　and　generation　rates,　and　contamination-holding　capacity　as　probability　functions,　interval　numbers,　and　fuzzy　sets.　The　developed　method　is　applied　to　examining　the　decisions　on　the　adoption　of　bypass　filter　and　selection　of　filters　within　multi-segments,　multi-period,　and　multi-option　context.　All　potential　scenarios　of　filters　management　policy　associated　with　different　economic　penalties,　objectives,　and　reliability　of　system　are　analyzed.　The　results　of　the　illustrative　example　show　that　the　reasonable　solutions　are　generated,　including　binary　and　continuous　variables　which　help　the　decision　maker　identify　optimal　strategies　for　filter　allocation　and　selection,　planning　the　adoption　of　bypass　filter　under　different　working　conditions.