Fuzzy Evaluating Model and Method of C2C Sellers Credit Based on Larsen Criterion

Abstract

Based on the common credit evaluation indexes system of the sellers for C2C, a fuzzy evaluating model is constructed based on Larsen criterion and the related algorithm is designed to evaluate the sellers. In this model, the indexes values are defined in continuous intervals and the internal relation between the overall evaluation and the sub-indexes is fully considered. So the credit characterization is close to the nature of the trading practices. Since the effect of the subjective factors on credit rating is efficiently eliminated in the calculation scheme, the credit grade got by the fuzzy algorithm is more reliable than the ones obtained by traditional methods. Finally, a numerical experiment is given to verify the effectiveness of the method.