In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.

本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。

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Techniques of deposit are discussed by applying theory of dynamic programming. From this, the decision processes and the decision table are given for easy operating.

采用动态规划理论讨论了最优存款的方法。根据这些讨论制定出决策流程和决策表，使得操作更为便捷。

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Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision-making table dynamically are put foreword so as to reduce the computing complexity.

一方面分析了动态自主知识获取问题中的决策表动态约简问题，确定了在获得基本最小规则集后动态增加或减少规则的算法。

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