摘要
针对传统信用评价方法较少考虑到时间的延续性,且只注重信用基础值而忽视其发展趋势的问题,本文提出了一种具有风险抗性信用奖惩特征的TOPSIS-GRA的动态信用评价方法。首先,利用指标信息量诱导密度算子对静态数据进行综合集成,得到静态综合信用评价值,在此基础上构造动态信用评价加权决策矩阵;其次,在对矩阵进行TOPSIS法验算的过程中嵌入企业风险抗性信用奖惩点,进而得到包含奖惩性质的相对贴近度;再以GRA方法得到各受评企业理想的信用发展趋势关联度,结合两者最终得到融合风险抗性奖惩量、信用基础值和信用发展趋势三项特征的稳定科学的企业动态信用评价结果。最后,给出了一个实证分析,验证了该方法的有效性及合理性。
As in the traditional credit evaluation methods, the continuity of time is often less considered and basic credit value is emphasized while credit development tendency is ignored. This paper proposes a dynamic credit e- valuation method which fuses the results of both TOPSIS having risk resistance rewards or punishments feature and Grey Relation Analysis. Firstly, using index information content induced density weighted algorithm （ID- WAg） we aggregate the information and then gain static comprehensive credit value, building dynamic credit e- valuation weighted decision-making matrix. Secondly, during the process of using TOPSIS, the enterprise risk re- sistance rewards or punishments are embedded, reaching the relative closeness degree fusing rewards and punish- ments feature. Then GRA method is applied to obtain the relevancy of enterprise credit tendency evaluated with ideal credit development tendency. Considering the results of both TOPSIS and GRA methods, the stable and scientific credit result will be got, which blends the features of risk resistance rewards or punishments, basic credit value and credit development tendency. Finally, a demonstration analysis is provided, verifying the validi- ty and the rationality of this method.
作者
张发明
王伟明
李小霜
ZHANG Fa-ming;WANG Wei-ming;LI Xiao-shuang(School of Economics ＆ Management,Nanchang University,Nanchang 330031,China)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2018年第9期132-138,共7页
Operations Research and Management Science
基金
国家自然科学基金资助项目(41661116
71361021)
国家社会科学基金资助项目(17BGL008)
江西省社科规划重点课题(18GL01)
江西省杰出青年基金项目(2018ACB210003)
江西省赣鄱英才555工程项目(18000070)
