基于灰色聚类方法的贫困大学生识别模型研究

L. Hongqi, Yuan Ying, Wu Qingchun
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摘要

本文在对现有鉴定方法和影响学生困难程度因素进行研究的基础上,分析了国内高校经济困难家庭学生成绩鉴定的现有方法及其优缺点,提出了经济困难家庭学生成绩鉴定体系。针对成绩评价体系中指标的模糊性,本文提出了灰色聚类方法进行量化判断,并介绍了灰色聚类方法的过程及在实际案例中的应用,以期为我国经济困难家庭学生的识别研究和实践提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the identification model of poor college students based on the grey clustering method
Based on the study of the current identification methods and the factors that influence the difficult degree of the students, the paper analyzed the current methods of grade assessment and identification about the students from economically disadvantaged families in domestic college and their advantages and disadvantages, advanced the systems of the grade assessment and identification about the students from economically disadvantaged families. Considering the illegibility of the index in the grade assessment systems, the paper proposes the grey clustering methods to make quantificational judge, introduced the process of the grey clustering methods and the applications in the practical case, expecting that it can afford references for the study and practice of the identification about the students from economically disadvantaged families in our country.
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