Agricultural　water　management　faces　challenges　from　ecological　environment　stress　(e.g.　water　scarcity　issues,　land　resources　pressure,　and　climate　conditions)　and　uncertainties　exist　among　multifarious　activities　in　agricultural　water　resources　management　systems.　In　this　study,　an　inexact　stochastic-fuzzy　programming　model　was　proposed　for　irrigation　water　resources　allocation　and　land　resources　utilization　management　under　considering　multiple　uncertainties.　In　the　model,　uncertainties　can　be　directly　integrated　into　the　optimization　process　through　reflecting　parameters　and　coefficients　as　interval　values,　fuzzy　sets,　random　variables,　and　their　combinations.　The　developed　method　is　applied　to　planning　irrigation　water　resources　allocation　and　cropland　pattern　under　considering　the　limited　surface　water　and　groundwater,　the　random　effective　rainfall,　and　the　imprecise　crops　water　requirements　in　Jining　City.　A　number　of　scenarios　corresponding　to　different　fuzzy　probability　of　violating　constraint　are　examined　in　order　to　obtain　the　best　management　program　under　various　scenarios,　and　search　reasonable　tradeoffs　between　varied　system　benefit　and　system-failure　risk.　The　results　indicated　that　agricultural　water　allocation　is　explicitly　affected　by　uncertainties　expressed　as　randomness　and　fuzziness,　and　the　results　are　valuable　for　supporting　the　adjustment　or　justification　of　the　existing　water　resources　management　schemes　and　a　desired　land　utilization　plan　for　regions　socioeconomic　development　under　uncertainty.