分析了增加新对象后,决策表的决策属性关于条件属性的条件熵变化原理.并在此基础上提出了一种新的增量核求解算法.该算法只需找到与新对象属性值相等的条件类和决策类就可以得到新的条件熵,进而求得决策表在信息观下的增量属性核.实例证明了该算法的有效性. This paper analyzes the principle of the conditional entropy change of the decision attributes of the decision table after adding a new object, and proposes a new algorithm of incremental kernel solution based on which the algorithm only needs to find the attribute value equal to the new object Condition class and decision class can obtain new conditional entropy, and then obtain the incremental attribute kernel of the decision table in the view of information.Examples prove the effectiveness of the algorithm.