证据理论和支持向量机相融合的教学质量评价  

On Teaching Quality Evaluation Based on Support Vector Machine and Evidence Theory

作　　者：吴丽[1] 刘益和[1] 

机构地区：[1]内江师范学院计算机科学学院,四川内江641112

出　　处：《西南师范大学学报（自然科学版）》2016年第2期92-98,共7页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：四川省科技厅重点基金项目(2015JY0119);省级卓越工程师项目(内师院发〔2014〕19号文件)

摘　　要：为了解决当前教学质量评价方式和结果的科学性可靠性不高的问题,提出了一种证据理论和支持向量机相融合的教学质量评价模型(DS-SVM).从信息融合的思想出发,首先构建评价指标体系,并采用支持向量机分别建立基于学生、同行、督导团的教学质量评价模型,然后利用支持向量机输出确定各模型的信度函数值,最后通过DS证据理论融合各信度函数值得到教学质量评价结果.仿真试验结果表明该教学质量评价模型的输出值与真实值间吻合度高,评价效果较好.A teaching quality evaluation method has been proposed based on support vector machine and evidence Theory（DS-SVM）,in order to improve the evaluation reliability of teaching quality.In the view of information fusion,firstly,the evaluation index system has been established,and the evaluation model of teaching quality for students,peer supervision group has also been established based on support vector machine,and then the results of support vector machine have been used to determine the values of reliability function.Finally,the DS evidence theory has been used to fuse the reliability function to obtain teaching quality evaluation results.The simulation experiment results show that DS-SVM method is feasible.Inosculation of teaching quality evaluation model between output value and the actual value is high,the evaluation result error is small.The application of the model can be used as a reference of the similar research and try new things.

关 键 词：教学质量 证据理论 支持向量机 评价模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]