Investment Risk Assessment Of Domestic P2P Lending Platforms Based On Triangular Fuzzy Number Analytic Hierarchy Process

With the rapid development of peer-to-peer(P2P)lending platforms,many individual investors with idle money and borrowers pressed for cash can be matched quickly through the P2 P lending platforms.Thus P2 P lending platforms improve the efficiency of social funds and provide more investment channels for different kinds of investors with an appropriate return rate.However,investors face different investment risks since different P2 P lending platforms operated under different operation modes.Some P2 P lending platforms close down and take away the funds of the investors.Specially,many illegal lending platforms infiltrated into the market and swindled much money from the investors.Thus it is necessary to identify the investment risks of P2 P lending platforms.From the perspectives of the investors,the paper uses triangular fuzzy number analytic hierarchy process(AHP)as the main research method to analyze the investment risk of P2 P lending platforms.We collect much operation data of the platforms to identify the basic factors that affect the platform investment risk and build up the corresponding AHP evaluation model.Then the paper handles evaluation scores of several experts in the industry.The weights of the basic factors to the target value(investment risk)are also considered.All data are analyzed through the matrix operation.The paper also illustrates the reasonability of triangular fuzzy number AHP for analyzing the investment risks of P2 P lending platforms through the comparison with third-party assessments and rankings.The paper further provides management suggestions for investors,platforms,and governments.The research of this paper can provide an important reference for the investment risk analysis of the P2 P lending platform and the identification of the investment risk for the investors.