基于粗糙集理论的膨胀土分级模型及应用

将粗糙集理论与模糊集理论相结合并应用于膨胀土分级问题中，利用粗糙集中的知识约简方法挖掘评价指标.把权重问题转成粗糙集理论中属性重要性问题，建立了关于膨胀土分级评价的关系数据模型。将评价结果与实际的评价结果对比分析，研究结果表明：预测等级与实际结果吻合，比较客观地反映了膨胀土分类的复杂状况，且该方法操作简单。

Expansive Soil Classification Model Based on Rough Set and Its Application

a method based on rough set theory and fuzzy assessment is proposed to classify expansive soil, the evaluated indexes are selected by use of knowledge reduction method of rough set theory .The problem of weighting coefficient is converted into that of significance estimating on the attributes in rough set. And a classification model of expansive soil was established. The results show that the predicted classification is consistent with the actually measured ones. Therefore, the classification model, reflecting the complexity situation of expansive soil objectively, is effective and available to the classification of the grade of expansion for the expansive soils, and easy to operate.