创新型实验成绩的灰统计评估

Grey statistics assessment of innovative experiment achievements

根据创新型实验评分标准及原始评分数据，构造灰统计样本矩阵，给出灰统计白化函数，并计算出每个学生的成绩对各统计灰类的单元决策系数和综合决策系数，进而根据单元决策系数及综合决策系数计算每个学生的成绩对各统计灰类的决策权，最后根据计算出的灰类决策权向量判断各学生的成绩所属的统计灰类。与现有方法比较结果表明，采用灰统计方法评估创新型实验成绩是科学合理的。

According to the grade criterion and originality achievement data, a sample matrix is constructed, and serials of whitening functions are presented, and the cell decision making coefficients and the integration decision making coefficients of each student＇s achievement under each grey league are calculated. Then the decision making weights of each student＇s achievement under each grey league can be calculated. Finally, the grey league of each student＇s achievement can be judged by the calculated decision making weight vectors. From the comparison between these traditional methods and the grey statistics assessment, it shows that the proposed method is scientific and rational.