基于聚类分析和信息熵的物流专业教学质量评价研究  

Quality Evaluation of Logistics Teaching Based on Cluster Analysis and Information Entropy

作　　者：曾文杰[1] 甄俊杰[1] 

机构地区：[1]重庆交通大学管理学院,重庆400074

出　　处：《物流工程与管理》2015年第3期253-254,190,共3页Logistics Engineering and Management

基　　金：重庆市研究生教育教学改革研究项目资助(项目编号:yjg143039)

摘　　要：为了降低物流专业教学质量评价体系建立的主观性和局限性,文中建立了一个基于聚类分析和信息熵的评价模型。由信息熵确定指标权重,并通过聚类分析进行综合评价,从而确定并完善物流专业教学质量评价指标体系。最后通过实证分析验证模型的有效性。In order to reduce the subjectivity and limitations when establishing evaluation system for logistics teaching quality,a new model based on cluster analysis and information entropy was developed.Index weights were determined by the information entropy,and a comprehensive evaluation was employed with cluster analysis,which improves the evaluation index system for logistics teaching quality.At last,the empirical experiment showed this method is effective and feasible.

关 键 词：物流专业 教学质量评价 聚类分析 信息熵 

分 类 号：G420[文化科学—课程与教学论]