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中文摘要：
属性约简是粗糙集理论重要研究内容之一，求取决策表所有属性约简已被证明为NP-难问题．本文基于吴方法，从代数方程组角度给出了一种求解所有属性约简的新思路．UCI数据集和人工数据集实验表明了该新方法的有效性．
英文摘要：
Attribute reduction is one of the most important notions in rough set theory. It has been proved that finding all reducts of a decision table is a NP-hard problem. Based on Wu＇ s method, a novel approach to acquire all reducts is put forward from the perspective of algebraic equations in this paper. The efficiency of this novel method can be illustrated by experiments with UCI datasets and synthetic datasets.
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