摘要
为解决中小企业融资中出现的信息不对称问题,中小企业信用评级已引起越来越多的关注。在借鉴国内外企业信用评级技术和方法的基础上,结合我国国情和中小企业自身特点,设计了中小企业信用评级指标体系,并运用相关性分析进行指标的实证筛选,运用AHP方法确定指标权重,为定量指标建立了模糊数学的综合评判模型,为定性指标设计了专家评判表,进而建立了一套适合我国中小企业特点的信用评级方法和模型。
In order to solve the problem of asymmetrical information in small-medium enterprises＇ financing, we are paying increasing attention to credit evaluation of small-medium enterprises. Based on the analysis of the foreign credit evaluation indexes of enterprises and the characteristics of Chinese small-medium enterprises, the related theory evaluation indexes are formed. Then an empirical study is conducted with relative analysis and AHP analysis, and a fuzzy-math model and an expert-judge table for small-medium enterprises＇ credit evaluation are constructed.
出处
《河北大学学报（哲学社会科学版）》
CSSCI
北大核心
2007年第2期26-33,共8页
Journal of Hebei University(Philosophy and Social Science)
关键词
中小企业
信用评级
AHP方法
模糊数学
small-medium enterprises, credit evaluation, AI-IP method, fuzzy mathematics
