With the established fuzzy regression model, the future load value can be forecasted based on the fuzzy historical observation data.
该方法通过建立具有模糊回归参数的回归模型，可以直接由模糊观测数据预测出未来负荷值。
In this paper, a fuzzy regression model was applied in the indexes of wheat flour to obtain the fuzzy relationship among the indexes.
通过把模糊回归模型应用到小麦面粉指标中，得出关于小麦面粉指标间的模糊关系。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
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