摘要
为了提取教学评价系统中关键评价因素,分析了现有的基于简化差别矩阵的启发式属性约简算法,在属性重要性选择上做了一些改进,设计了一种应用于教学评价系统的特征选取的算法。该算法同样可以比较简单地解决其他类似的属性约简的实际问题。
In order to select key factors from many indicators in the teaching evaluation system , the present heuristic attribute reduction algorithms based on discernibility matrix was analyzed .Some improvements have been made in the significance of attribute selection .A feature extraction algorithm was designed for the teach-ing evaluation system .The proposed algorithm can also solve other similar problems in a simple way .
出处
《湖北理工学院学报》
2014年第2期47-50,共4页
Journal of Hubei Polytechnic University
基金
福建省教育厅B类项目(项目编号:JB12315)
关键词
教学评价
粗糙集
差别矩阵
属性约简
属性重要性
teaching evaluation
rough set
discernibility matrix
attribute reduction
attribute significance