Study of Credit Rating Based on Soft Computing
基于软计算的资信评估研究

In this paper,a credit rating model based on soft computing is proposed which is a integration of fuzzy mathematics and genetic algorithm and use Fast Genetic k means Algorithm to cluster. The result indicates that, while both FGKA and GKA always converge to the global optimum, FGKA runs much faster than GKA. The realization of the model introduces a new way to ERP in credit rating with the use of PowerBuilder and Sybase SQL server.