Online Credit Evaluation System Based on Analytic Hierarchy Process and Set Pair Analysis

Abstract

Online credit evaluation system is the foundation for the establishment of trust and for the management of risk between buyers and sellers. This paper studies the contents of credit evaluation system on both sides of online business interaction. We find out that the current system is too general and is difficult to be put into practice, then we propose a new model based on analytic hierarchy process and set pair analysis to evaluate the credit of the e-commerce participants. We take into account uncertainty in online business interaction and deal comprehensively with qualitative indicators and quantitative indicators, then we give a overall credit score from the optimal perspective. In the end, a case study of China garment network is given.