As　an　important　mode　of　e-commerce,　C2C　has　become　a　trading　mechanism　favored　by　consumers.　However,　for　C2C　transaction　in　a　virtual　environment,　there　is　an　issue　of　congenital　transaction　asymmetry,　leading　to　increased　uncertainties　and　transaction　risks　as　well　as　credit　speculation,　false　transactions,　and　other　credit　problems.　These　problems　not　only　affect　the　development　of　enterprises　to　a　large　extent,　but　also　hinder　the　development　of　e-commerce　ultimately.　In　order　to　guarantee　the　safety　of　both　transaction　parties,　it　is　particularly　important　to　establish　a　sound　credit　evaluation　system　for　shopping　sites.　Through　the　analysis　of　the　shortcomings　of　the　existing　C2C　e-commerce　credit　evaluation　model,　this　paper　proposes　a　two-way　e-commerce　credit　evaluation　model　based　on　the　C2C　mode.　Firstly,　a　cross-platform　two-way　credit　rating　center　with　a　unified　rating　standard　was　constructed;　secondly,　the　credit　evaluation　indicator　was　reset　and　revised;　then　the　credit　rating　of　buyers　and　sellers　was　unified　by　combining　fuzzy　comprehensive　evaluation　algorithm.