本文根据中华人民共和国国家统计局统计数据的统计分析,对影响消费者物价指数的重要组成部分居民食品价格进行分析,将所涉及到的城市居民食品采用模糊均值聚类进行了适当分类,分析了每类食品的特点;用2014年10月到2015年9月的39组数据建立融合数据灰色预测模型,对2015年12月的城市居民食品价格采用融合数据灰色预测.
Through a statistical analysis of the data published by the National Bureau of Statistics of the People's Republic of China,this paper discussed the food price,which constitutes an important part in resident's consumer price index. This paper categorized the involved urban resident's food and analyzed the features of each type based on fuzzy c means( FCM). We established a data fusion gray prediction model with 39 sets of data from October 2014 to September 2015,and predicted the urban resident's food price for December 2015 with this model.