In　this　study,　a　fuzzy-boundary　interval-stochastic　programming　(FBISP)　method　is　developed　for　planning　water　resources　management　systems　under　uncertainty.　The　developed　FBISP　method　can　deal　with　uncertainties　expressed　as　probability　distributions　and　fuzzy-boundary　intervals.　With　the　aid　of　an　interactive　algorithm　woven　with　a　vertex　analysis,　solutions　for　FBISP　model　under　associated　alpha-cut　levels　can　be　generated　by　solving　a　set　of　deterministic　submodels.　The　related　probability　and　possibility　information　can　also　be　reflected　in　the　solutions　for　the　objective　function　value　and　decision　variables.　The　developed　FBISP　is　also　applied　to　water　resources　management　and　planning　within　a　multi-reservoir　system.　Various　policy　scenarios　that　are　associated　with　different　levels　of　economic　consequences　when　the　pre-regulated　water-allocation　targets　are　violated　are　analyzed.　The　results　obtained　are　useful　for　generating　a　range　of　decision　alternatives　under　various　system　conditions,　and　thus　helping　decision　makers　to　identify　desired　water　resources　management　policies　under　uncertainty.(C)　2010　Elsevier　Ltd.　All　rights　reserved.