文章首先通过行业股信息表描述决策逻辑语言及粒子计算,然后讨论了智能数据分析的原理,同时给出具体实例并进行分析。
This paper at first describes a decision logic language and granular computing using trade stock information table, then the principle of intelligent data analysis is discussed, an exa.
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.
提炼并归纳了“决策表问题”对应的数学计算公式——特殊的多元分段函数,并指出该类分段函数的特点。
The paper summarizes the math formula of decision-making table problem and points characteristic, which a sort of multi-items subsection function owns.
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