该方法将CHI值特征选取和粗糙集理论充分结合，避免了用粗糙集对大规模决策表进行特征约简，同时避免了决策表的离散化。
The method combined CHI value feature selection and rough set theory fully so as to avoid both feature reduction on a large scale decision table and the discretization of the decision table.
在表一中所呈现的动机特征的归纳紧紧是一种理论性的观察，这将暗示产品可能的动机效应。
It should be noted that the summary of motivational characteristics shown in Table 1 is merely a theoretical observation, which suggests possible motivational effects of the product.
基于粗集理论，本文提出了一种新的决策表最优特征子集选择的启发式算法。
Based on rough sets, a new heuristic algorithm is presented to solve the difficulty.
基于粗集理论，本文提出了一种新的决策表最优特征子集选择的启发式算法。
Based on rough sets, a new heuristic algorithm is presented to solve the difficulty.
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