由于模糊聚类分析可以较好的完成目标分类,因此其近年来在许多行业都有重要的应用。本文将模糊聚类分析应用于煤炭消费量的预测中,通过已知年份中与煤炭消费量关系密切的数据,选取合适公式进行聚类,并利用F检验得到最佳阈值,通过检验证明利用该方法预测煤炭需求量是可行的,可以指导生产。 Since fuzzy clustering analysis can achieve the target classification well, it has been applied in many industries in recent years. In this paper, fuzzy clustering analysis is applied to coal consumption forecasting. According to the data of the known years which is closely related to the coal consumption, we select the appropriate formula for clustering and use F-test to get the optimal threshold. The method of predicting the coal demand is feasible and can guide the production.