基于灰色聚类的本科生生源质量评价研究

摘要

选取合肥工业大学2018年新生录取数据, 确立生源结构、录取成绩以及录取志愿3部分为生源质量评价体系的关键指标.提出了基于灰色聚类的本科生生源质量评价模型, 设计并实现了基于白化权函数和不同聚类指标权重的灰色聚类的计算算法, 总结归纳了影响高校生源质量的相关因素.研究表明:高校生源质量及招生模式改革面对高考招生制度改革和"双一流"建设目标带来的新挑战和新机遇, 合肥工业大学加强学校内涵建设和特色发展, 创建一流本科教育, 提高人才培养质量是关键.%Based on the grey characteristics of the evaluation of enrollment quality evaluation, this paper selects the enrollment data of Hefei University of Technology in 2018, and establishes that the structure of enrollment, enrollment results and applications are the key indicators of the evaluation system.This paper puts forward the evaluation model of undergraduate enrollmentquality based on Grey clustering analysis, designs and implements the calculation algorithm of grey clustering based on albino weight function and different clustering index weight, and summarizes the relevant factors that affect the quality of undergraduate enrollment.The results show thatin the face of the new challenges and opportunities brought about by the reform of college entrance examination system and the goal of"double first-class"construction, Hefei University of Technologyshould strengthen the connotation construction and characteristic development, create first-class undergraduate education, and improve the quality of talent cultivation.