The　present　study　investigates　the　hybrid　reliability　modeling　of　structures　in　which　the　inputs　contain　both　random　variables　and　interval　variables.　Hybrid　uncertainty　is　divided　into　three　categories,　including　random　variables　mixed　with　random　variables,　interval　variables　mixed　with　interval　variable,　and　random　variables　mixed　with　interval　variables.　In　order　to　perform　the　reliability　analysis　of　structural　systems,　first,　the　Bayes　method　is　proposed　in　the　present　study　to　obtain　distribution　parameters　of　random　variables.　Moreover,　the　self-sample　method　is　introduced　to　obtain　the　interval　boundaries　based　on　the　least　available　measuring　data.　Then,　the　reliability　models　are　established　for　three　situations　and　the　reliability　indices　are　defined　and　derived　accordingly.　The　abovementioned　three　types　of　reliability　indices　outline　the　general　situation　of　structural　systems.　Finally,　the　specific　calculation　process　is　described　in　details　through　different　examples.　Furthermore,　the　accuracy　and　efficiency　of　the　proposed　method　is　discussed　by　comparing　the　results　obtained　from　the　Monte　Carlo　simulation　and　those　of　other　methods.　The　obtained　results　indicate　that　the　performance　of　the　proposed　model　in　solving　reliability　modeling　problems　is　better.