After that we study on the ordered decision table and propose a new heuristic attribute reduction algorithm based on dominance matrix, whose time complexity is polynomial.
再次，对有序决策表进行了研究，提出了一种基于优势矩阵的启发式属性约简算法。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
The item of attribute frequency in the scan vector was taken as heuristic information to improve the efficiency of attributes reduction.
以扫描向量中的属性频率项作为属性约简搜索的启发信息，提高了属性约简效率。
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