数学建模与聚类分析方法在企业经营效绩评价中的综合运用

Application of Mathematical Modeling and Cluster Analysis In The Evaluation of Busyness Management Performance

本论文通过CT总公司所属九个分公司财务指标即:财务效益状况指标,资产营运状况指标,偿债能力状况指标,发展能力状况指标和稳固程度状况指标五个方面的财务状况数据,一方面采用数理统计方法进行数据分析,建立数学模型,设定了评分办法及评分标准.做出了CT总公司所属九个分公司2 0 0 0年的经营业绩(量化)评价结果.另一方面按九个公司财务指标的原始数据用聚类分析的方法将其归类,进一步揭示出各个公司之间的联系与差别.

By analyzing the financial interest data, assets operation data, debt paying ability index, expansion potency index and stableness index of nine branch companies of CT Company with mathematical statistics method, we build the mathematical model and establish the evaluation standard. We give the quantified management performance results of these nine branch companies in 2000. With cluster analysis, we classified the original fanatical data of these nine branch companies, and show up the differences and relations among these branch companies.