大型水利工程承包商动态信用评价研究  

Research on Dynamic Credit Evaluation of the Contractor in Large-scale Water Conservancy Project

作　　者：卢星云 杨高升[1,2] 

机构地区：[1]河海大学商学院,江苏南京211100 [2]河海大学工程管理研究所,江苏南京211100

出　　处：《武汉理工大学学报（信息与管理工程版）》2017年第5期615-619,642,共6页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家自然科学基金(71402045)

摘　　要：针对大型水利工程对承包商的信用水平考察以静态为主的现状,建立基于灰色模糊聚类分析的承包商动态信用评价模型。在建立承包商信用评价指标体系的基础上,通过灰色关联分析对时间数据进行降维,动态地观察承包商在这一段有效时间内的信用状态趋势和波动情况,并通过模糊聚类分析对其信用水平进行归类。同时以典型大型水利工程承包商信用水平为例进行实证分析,结果表明该模型适用于具有高维数据的大型水利工程,同时解决了由于数据选取单一而导致评价结果不全面的问题。For the large-scale water conservancy project,the traditional evaluation on the contractor＇s credit level was mostly static,the contractor credit evaluation model through the grey-fuzz clustering analysis is established in this paper. The model makes dimensionality reduction of time serious data through gray correlation analysis on the basis of evaluation index system of credit,to observe the contractor credit status trend and fluctuation dynamically within an effective period,and through the fuzzy cluster analysis to classify the credit level of the contractor. In addition,the model has been tested by the typical the large-scale water conservancy project. The empirical research result shows that model is suitable for high dimensional data and solved the problem of not comprehensive and objective evaluation due to simplex data is selected.

关 键 词：承包商 动态信用评价 灰色关联分析 模糊聚类分析 大型水利工程 

分 类 号：F407.9[经济管理—产业经济]