多维度战略数据的Chernoff脸谱图表示方法与实证研究

Expressing Method and Empirical Research on the Use of Chernoff Faces to Represent Multi-dimensional Strategic Data

针对实际需要,提出一种将经过适度简化的Chernoff脸谱图应用于多维度战略数据分析的方法,在脸谱图的指标变量分配方面提出基于熵权的最重要指标分配法。以此Chernoff脸谱图为可视化工具,对珠江三角洲地区惠州、中山、江门三个地级市2008年度的主要经济战略指标数据进行实证对比分析,验证该方法的有效性与实用性。

According to the actual needs, the article puts forward a new method which applies moderately simplified Chernoff faces on multi - dimensional strategic data analysis. The strategy in the index variables distribution of Chernoff faces is the most important index distribution method based on entropy weight. Using improved Chernoff faces as visualization tool, the authors make a practical comparison analysis on some key economic strategic data in 2008 of three prefecture -level cities within the Pearl River Delta area. These cities are Huizhou, Zhongshan and Jiangmen. The research result shows that the method has the validity and practicality.