An　integer　nonlinear　programming　(INP)　model　has　been　established,　which　can　effectively　identify　the　optimal　contamination　mitigation　plan　in　fluid　power　systems　(FPS).　A　fuzzy　comprehensive　evaluation　has　been　developed　to　handle　a　more　appropriate　result　compared　with　the　other　methods　for　taking　more　relevant　factors　into　account.　Several　uncertain　factors　are　introduced　into　evaluation　of　alternative　options　by　means　of　optimal　cut　level　set　approach　and　membership　functions.　In　comparison　with　the　deterministic　model,　the　developed　method　takes　much　full　consideration　of　existing　factors　which　affects　the　final　satisfaction　degree.　The　method　has　been　applied　to　a　Study　case　of　the　design　and　management　of　filtration　systems　to　protect　a　given　FPS.　The　experiences　and　judgments　of　experts　are　adopted　to　generate　the　filter　allocation　and　replacement　strategies　under　various　system　conditions.