基于灰色聚类模型的实验成绩评定

Assessment of Experimental Score Based on Grey Clustering Model

针对传统的灰色聚类模型中只考虑灰色聚类权而没有考虑属性重要性权重的问题,提出了综合灰色聚类权和属性相对重要性权重的改进灰色聚类模型.将该模型应用于实验成绩的评定,结果表明,基于改进灰色聚类模型的实验成绩评定能克服传统实验成绩评定中存在的非此即彼和标准统一划分的缺陷,同时指出了该方法的不足之处及解决的办法.

In respect to the shortage of traditional grey clustering which uses the grey clustering weights only, an improved grey clustering model is proposed. The proposed mode combines the grey clustering weights and attribute relative importance weights together. Application of the improved grey clustering model to the assessment of electrical experimental score shows that the method is effective and practical, and can overcome the deficiency of the traditional method. At the same time, the deficiency of the improved grey clustering analysis and its solvable means are put forward.