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作 者:靳书坤 JIN Shukun(Guangdong Business and Technology University,Zhaoqing 526020,China)
出 处:《工业技术与职业教育》2023年第3期77-82,共6页Industrial Technology and Vocational Education
基 金:本科层次职业教育试点改革理论与实践研究规划项目2021—2023年度青年课题“基于ER规则的大学生综合素质评估模型”(项目编号:GDGSGQ2021018),主持人靳书坤。
摘 要:大学生综合素质评估有助于发现综合素质培养过程中的不足,为大学生综合素质培养方案的完善提供客观的依据。大学生综合素质评估指标中包括学科成绩等定量信息和道德素养等定性信息,需要评估方法具有处理多元信息能力和信息融合能力。现有的评估方法中,存在数据类型和处理方法单一、不精确和不完整的信息得不到有效表达、无法描述数据可靠性等问题。提出基于证据推理规则的大学生综合素质评估模型,对多元数据进行标准化处理,使用层次分析法和数理统计方法求解证据权重及可靠度,将标准化数据通过证据推理规则算法进行信息融合,对大学生的综合素质进行评估。最后通过案例分析验证方法的有效性。The comprehensive quality assessment of university students helps to identify the shortcomings in the process of comprehensive quality cultivation and provides an objective basis for the improvement of the comprehensive quality cultivation programme of university students.The indicators of comprehensive quality assessment of university students include quantitative information such as academic achievements and qualitative information such as moral quality,which requires assessment methods with the ability to process multiple information and information fusion.Among existing evaluation methods,there are problems such as single data types and processing methods,imprecise and incomplete information that cannot be effectively expressed,and inability to describe data reliability.This paper proposes a comprehensive quality assessment model for university students based on evidence reasoning rules,standardizes multivariate data,uses hierarchical analysis and mathematical statistics to solve the weight and reliability of evidence,and fuses the standardized data with information through the evidence reasoning rules algorithm to assess the comprehensive quality of university students.Finally,the validity of the method is verified through case studies.
关 键 词:综合素质评估 多元信息 证据推理规则 证据权重 证据可靠度
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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