属性集重要性的研究  

Study on significance of attribute set

作　　者：马秀琴[1] 冯百明[1] 秦红武[1] 

机构地区：[1]西北师范大学数学与信息科学学院,兰州730070

出　　处：《计算机应用》2010年第7期1889-1891,1895,共4页journal of Computer Applications

基　　金：国家科学自然基金资助项目(1077117);西北师范大学青年教师科研基金资助项目

摘　　要：决策表中,属性集的重要性往往被忽略。通过实例分析和理论分析,得出单一属性不重要而包含它的属性集不一定不重要,以及单一属性重要而包含它的属性集一定重要的结论。因此,研究属性集重要性具有重要意义,与单一属性重要性相比,属性集重要性更加可信。In the decision table,significance of attribute set is ignored.In this paper,the significance of both single attribute and attribute sets were analyzed.It is concluded that it is uncertain that an attribute set consisting of nonsignificant single attributes is not significant,while an attribute set including significant single attributes must be of significance.As a result,the significance of attribute set is more reliable than that of single attribute.

关 键 词：属性集 粗糙集 重要性 决策表 约简 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]