The attribute reduction quality,which includes reduction ratio and approximate quality,is defined to scale the reduction effectiveness. Based on the improved definition(standard) of attribute significance,two heuristic algorithms of attribute reduction are constructed.
提出约简质量的定义,从属性约简率和近似质量两方面来衡量约简效果。
参考来源 - 信息系统的一种启发式属性约简算法·2,447,543篇论文数据，部分数据来源于NoteExpress
提出约简质量的定义，从属性约简率和近似质量两方面来衡量约简效果。
The attribute reduction quality, which includes reduction ratio and approximate quality, is defined to scale the reduction effectiveness.
算法具有多边形约简算法相同的优良的近似质量，并可在固定数据缓冲区空间内在线运算。
The quality of approximation is as good as polygonal boundary reduction, and it can process the data online in a constant buffer.
应用粗糙集理论计算相同层次两两评价指标的近似质量差，根据差的大小确定指标重要性，并通过实例证明了该模型的合理性和正确性。
In the model, approximate quality difference of two evaluations in the same level is computed by rough sets, and the importance degree is determined by difference. The model is validated by instance.
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