基于梯形云模型的成绩定性评价

Qualitative evaluation based on merit trapezoid cloud model

本文针对学生成绩定性评价问题,提出了一种基于梯形云理论的定性评价方法。首先,将一门课程一组学生的历史成绩,用新的云变换算法,确定出学生成绩的每个定性概念所对应的梯形云数值区间,接着把需要评价的学生N次成绩看成云滴,依据逆向云生成器,计算出学生成绩云的特征值:期望值、熵、超熵,接着依据条件云生成器,计算出学生成绩与每个定性评价的隶属度值,最后运用隶属度最大值法确定出了学生成绩定性概念。

In this paper, for the qualitative evaluation of student achievement, we proposed qualitative evaluation method based on the trapezoidal cloud theory. First, a group of students in a course of history of achievement, with new cloud transformation algorithm, to determine the qualitative concept of student achievement for each corresponding trapezoidal cloud value range, then the need to evaluate student achievement N times as cloud droplet, according to the backward cloud generator calculates the eigenvalues student achievement cloud： expectations, entropy, excess entropy, then in accordance with the conditions cloud generator calculates student achievement and membership value of each qualitative assessment, and finally the use of the maximum membership method to determine the qualitative concept of student achievement.