改进的云重心评判法在高技术企业信用评价中的应用

提出一种改进的云重心评判法,并应用于高技术企业信用评价.首先,借鉴TOPSIS法的基本思想,基于理想状态和负理想状态,对综合云重心向量进行归一化,并采用修正的加权偏离度来衡量云重心的变化,从而克服了传统云重心评判法的不足.其次,针对高技术企业信用评价中的不确定性,运用改进的云重心评判法对高技术企业信用状态进行实证测评,结果证明了该方法的合理性和适用性.

An Improved MCGC and Its Application in Credit Evaluation of High-Tech Enterprises

An improved evaluation method of membership cloud gravity center(MCGC) is proposed and applied in credit evaluation of high-tech enterprises.Using the basic idea of TOPSIS method for reference,the comprehensive membership cloud gravity center vector is normalized based on ideal state and negative ideal state.Through the modified weighted deviation degree,the change of membership cloud gravity center is measured scientifically. Thus,the draw back of traditional MCGC is overcome.And then,in view of uncertainty usually existing in credit evaluation of high-tech enterprises,an empirical credit evaluation for high-tech enterprises is carried out by the improved MCGC.The empirical analysis results show that the improved MCGC is reasonable and suitable.