基于模糊C均值聚类的工业企业经济效益评价  

Evaluation of the Industrial Enterprises' Economic Benefit Based on Fuzzy C-means Clustering

作　　者：卢怡青 王晴[1] 朱家明[2] 

机构地区：[1]安徽财经大学金融学院,安徽蚌埠233030 [2]安徽财经大学统计与应用数学学院,安徽蚌埠233030

出　　处：《聊城大学学报（自然科学版）》2017年第3期75-78,共4页Journal of Liaocheng University:Natural Science Edition

基　　金：国家自然科学基金项目(11601001);国家级大学生创新创业训练计划(201610378418)资助

摘　　要：基于模糊C均值聚类算法,以安徽省的16个城市为研究对象,通过Matlab软件进行求解分析,对安徽省工业企业的经济效益进行了评价.得出的结论是:合肥市和芜湖市企业经济效益较好,滁州市和安庆市企业经济效益属于中等水平,其余城市属于较差水平.同时,对评价结果进行了分析,在此基础上提出了合理的政策性建议.最后,对模糊C均值聚类算法提出了不断优化和拓展应用到其它领域的设想.Based on the fuzzy C-means clustering algorithm,16 cities in Anhui Province were selected as the research object,and the economic benefits of industrial enterprises in Anhui Province were evaluated by Matlab software.The conclusion is that the economic benefits of enterprises in Hefei and Wuhu are better.The economic benefits of enterprises in Chuzhou and Anqing are medium and the other cities are the worst.At the same time,the evaluation results are analyzed,and on this basis,reasonable policy suggestions are put forward.Finally,put forward the idea of the fuzzy C-means clustering algorithm can be optimized and expand the application to other areas.

关 键 词：模糊C均值聚类 经济效益 聚类结果 MATLAB 

分 类 号：F014.35[经济管理—政治经济学]