Credit Evaluation of High-tech Enterprise Based on ANP and MCGC

摘要

This paper attempts to apply the analytic network process (ANP) and the evaluation method of membership cloud gravity center (MCGC) in credit evaluation of high-tech enterprise. Firstly, according to the characteristic of high-tech enterprise, a credit evaluation index system of high-tech enterprise is constructed. Secondly, in view of dependence and feedback between the credit evaluation indicators of high-tech enterprise, the indicators weights are determined through ANP, so that the scientificity of determining weights is enhanced. Finally, using the improved MCGC, the mutual conversion between qualitative concepts and their quantitative expressions is realized, and then the linguistic value evaluating the credit state of high-tech enterprise is obtained. The empirical analysis results show that ANP and MCGC are feasible and suitable in credit evaluation of high-tech enterprise.