湖北理工学院学报
湖北理工學院學報
호북리공학원학보
Journal of Huangshi Institute of Technology
2014年
2期
47-50
,共4页
教学评价%粗糙集%差别矩阵%属性约简%属性重要性
教學評價%粗糙集%差彆矩陣%屬性約簡%屬性重要性
교학평개%조조집%차별구진%속성약간%속성중요성
teaching evaluation%rough set%discernibility matrix%attribute reduction%attribute significance
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。
為瞭提取教學評價繫統中關鍵評價因素,分析瞭現有的基于簡化差彆矩陣的啟髮式屬性約簡算法,在屬性重要性選擇上做瞭一些改進,設計瞭一種應用于教學評價繫統的特徵選取的算法。該算法同樣可以比較簡單地解決其他類似的屬性約簡的實際問題。
위료제취교학평개계통중관건평개인소,분석료현유적기우간화차별구진적계발식속성약간산법,재속성중요성선택상주료일사개진,설계료일충응용우교학평개계통적특정선취적산법。해산법동양가이비교간단지해결기타유사적속성약간적실제문제。
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 .