摘要： 数据样本集作为人工智能不可缺少的部分，应是全面的，有效的集合。当所提供的数据样本集残缺不全时，会影响人工智能的有效应用。针对这一问题，该文提出了一种基于决策算法的数据样本集补全方法，能科学、正确、有效地补全数据样本集，为提高人工智能的决策推理铺平了道路。

关键词: 决策算法；数据样本集；决策表；化简；粗糙集

Abstract: The data bank is the most important factor of artificial intelligent development, so the demanding data bank must be all-round, effective collection. When the offering data bank is poor data bank , it will affect the application of artificial intelligent. To this question, the author brings out one solution to solve the poor data bank basing on the rough sets theory. It can scientifically, correctly, effectively supplement the poor data bank,and can offer greatly help to enforce the application of artificial intelligent

Key words: Decision algorithm; Data bank; Decision table; Simplification; Rough sets