This　paper　addresses　the　inherent　unreliability　and　instability　of　the　multiple　uncertain　characteristics　of　complex　embedded　multiprocessor　systems,　such　as　MPSoC　(multiprocessor　system　on　chip)　systems.　In　this　work,　we　propose　a　fuzzy　sets　description　for　the　multiple　uncertain　characteristics　of　system,　and　using　fuzzy　set　membership　calculation　to　determine　the　scheduling　priorities　of　tasks　and　resources,　in　order　to　improve　the　capability　of　concurrent　executions　of　tasks.　And　also　we　present　a　method　estimation　of　comprehensive　analysis　on　the　multiple　performances　in　order　to　increase　utilization　factor　and　balancing　loads　on　processors.　Through　simulation,　we　demonstrate　that　the　fuzzy　dynamic　scheduling　algorithm　can　handle　wide　variety　requirements　of　multiple　performances,　and　we　also　show　an　improved　approach　to　solve　its　demerit　of　partial　adjustment.　We　implemented　a　prototype　MPSoC　system,　which　utilizes　the　proposed　fuzzy　dynamic　scheduling　algorithm　to　allocating　tasks　onto　the　multiprocessors.　And　in　our　case　studies,　we　design　a　parallel　architecture　h.　264　encoder,　running　on　a　multicore　MPSoC　system　on　FPGA.　The　speedup　ratio　of　this　prototype　application　system　is　up　to　12.69.