The experimental results show that the proposed method can fuse multiple classifiers with low classification error rate based on comprehensible fuzzy systems.
实验结果表明，该方法能够用可理解性好的模糊系统实现低错误率的多分类器融合。
Reservoir Flood Control; Classified Forecast Dispatching Mode; Risk Analysis; Flood Forecast; Flood Classification; Corresponding Rising Difference Model; Triangle Fuzzy Number; Weather Systems;
水库防洪；分类预报调度方式；风险分析；洪水预报； 洪水分类；相应涨差模型；三角模糊数；天气系统；
Reservoir Flood Control; Classified Forecast Dispatching Mode; Risk Analysis; Flood Forecast; Flood Classification; Corresponding Rising Difference Model; Triangle Fuzzy Number; Weather Systems;
水库防洪；分类预报调度方式；风险分析；洪水预报； 洪水分类；相应涨差模型；三角模糊数；天气系统；
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