模糊决策树在煤矸石分拣中的应用

Application of Fuzzy Decision Tree in Coal Gangue Sorting

为了能对煤矸石和煤进行快速、准确的区分,提出了用模糊决策树区分煤矸石和煤的方法。在本方法中,先将煤矸石和煤的特征进行分类,然后采用Fuzzy-ID3算法生成模糊决策树,根据决策树中根节点到叶节点的路径形成相应的模糊判断规则集。经过仿真分析可以看出,根据生成的模糊判断规则集,能快速、准确地分析出煤矸石和煤,进一步提高了煤矸石分选设备的智能化水平。

In order to distinguish coal gangue and coal quickly and accurately, this paper proposes a method of distinguishing coal gangue and coal by fuzzy decision tree. In this method, the characteristics of coal gangue and coal are classified first, and then the fuzzy decision tree is generated by using the Fuzzy-ID3 algorithm. The corresponding fuzzy judgment rule set is formed according to the path from root node to leaf node in the decision tree. The simulation analysis shows that the coal gangue and coal can be analyzed quickly and accurately according to the generated fuzzy judgment rule set, which further improves the intelligent level of coal gangue sorting equipment.