Abstract: 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.

Key words: attribute set, rough sets, significance, decision table, reduct

摘要： 在决策表中，不同的属性和属性集可能具有不同的重要性。通过分析单一属性重要性和属性集重要性，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。

关键词: 属性集, 粗糙集, 重要性, 决策表, 约简