约简与核是粗糙集理论的两个重要概念，而直接由定义来计算约简与核是一个典型的NP难题。
Reduction and core are two important concepts in rough set theory, while computing reductions and core according to the definitions directly is a typical NP problem.
以原始条件属性集为起点并结合算子，通过向属性核的递减式逼近，得到属性的最小相对约简。
Acquiring optimal relative reduction by descending approach to core of attribute from original set of conditional attribute and combining with operator.
核属性集的确定是从海量数据中发现决策规则的重要步骤。
The ascertainment of the core attribute set is the important process for discovering decision rules from mass data.
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