Research on Two Decision Models in Third-Party Payment Platform Transaction

In transaction platform, because of competing for market share, this will inevitably bring a series of problems and risks for companies. Decision of the managers and consumers in third-party payment platform, are issue of great concern to platform development. Using rough set theory, this paper constructs the third-party payment platform transaction's rough complex network, establishes a rough complex networks trust model for platform managers to enhance efficiency, a customer select commodities rough decision model for customer's benefit maximization. In this paper, rough set theory is used to study the uncertainty of complex network trust model, but also given attribute reduction algorithm based on time series analysis to solve the attribute rules extraction in dynamic knowledge system. Simulation examples show that the models and algorithms provide the science decision-making approach for a direct participant of the platform transaction.