灰色关联原理在煤种聚类分析中的应用

APPLICATION OF GREY RELATIONAL PRINCIPLE IN THE CLUSTER ANALYSIS OF COAL CATEGORY

运用灰色关联原理定量表征了煤的性能参数:硫分、挥发分、灰分和发热量对聚类分析结果的影响程度.结果表明,在不同权值条件下,可得到一致的结果,实验选取四种性能参数的相对关联系数的大小顺序恒为:硫分、挥发分、灰分、发热量.实验验证可得到一致结果.因此,在实际研究和聚类分析过程中,应该控制四个参数中硫分和挥发分的检测精度和准确度.

The quantitative effect of the four different property parameters of coal on the cluster analysis of coal category was investigated by grey relational principle in this paper. The results indicated that the relative order of effect of the four parameters from big to small at diffe- rent weight was always sulfur content, volatile component, ash content and caloric value, respec- tively~ and the verification test proved it to be right. Consequently, the detection accuracy and procession of sulfur content and volatile component of coal samples should be strictly controlled in experimental study and the cluster analysis of coal category.