实例分析证明,该算法能节省计算时间,求出最小属性约简。
Example analysis shows that the time is reduced, and it illustrates the minimum attribute reduction of the new algorithm.
首先介绍了决策表、广义信息表的构造及特点,然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
包括理论的提出,一些基本的概念,数据的约简,知识表达系统,属性的约简,决策逻辑和决策规则最小化等。
It includes the proposing of the theory, some relevant fundamental concepts, the reduction of data and attributes, KRS, decision analysis, and the reduction of decision rules.
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