B2C E-Commerence Environment Of The Seller Integrated Evaluation Model On Credit Research And Its Software Design

Development and universal access to the Internet, to the modern business has brought new opportunities for development, Internet-based e-commerce came into being, and become a new business model. E-commerce since the 20th century, since the 90's initiation, had a revolutionary social and economic impact. It operates mainly B2B, B2C, C2C. B2B online transactions in which the amount of its larger and more mature terms of trade represents the development direction of e-commerce. At the same time, credit has been the problem in China's B2B e-commerce development bottleneck. Therefore, the establishment of a safe and reliable body of B2B credit evaluation is particularly important, B2B credit evaluation of the building is a very large and complex systems engineering. Which the consumer C2C e-commerce to consumers. In this business model, the consumer via the Internet and personal transactions between consumers. C2C e-commerce across time and space in addition to the virtual nature of things, its features include:key players for the individual, low barriers to market access, the participants can be anonymous and easy to register and so on, determined its uncertainty, highly dynamic nature of individual transactions, and virtual e-commerce technology and management of the development stage so limited. These lead to higher risk transactions, online fraud, repeated in an endless stream, greatly hindered the development of electronic commerce. Therefore, in order to reduce the three modes of e-commerce transaction risk, promoting honest trading online trading security as an important research subject. Establish a sound credit rating system for e-commerce sites have important practical significance.This study was to analyze the current e-commerce in the Credit problems and the current credit evaluation model for the inadequacies of the gain, and to collect the e-business environment that large amounts of detailed historical data for the establishment of credit evaluation Zhibiao three models, each using gray system theory, Scatter, artificial neural network algorithms to establish a credit rating model. To solve the actual e-commerce credit evaluation, while the empirical analysis of the specific application of the model described the steps offer the basis for modern e-commerce, and promote the healthy development of e-commerce business in China.The paper is divided into eight chapters to discuss, research content and structure is as follows:ChapterⅠ, Introduction:analysis of the background of this research is carried out on domestic research summarized the current situation, review and comment; second chapter, on research related to the main terminology for the concept and meaning of the definition of e-business credit issues and credit evaluation system concepts; third chapter introduces the relevant evaluation theory, the text of the post-assessment model to lay a foundation; ChapterⅣ:collected Credit-related e-commerce environment, a lot of historical data combined with evaluation of foreign credit, the establishment of three models of credit evaluation index system;Ⅴ, combined with Grey system theory, a model for B2B credit evaluation model; 6th Zhang, BP neural network introduction and principles of analysis, Building bp neural network based on credit evaluation model;Ⅶ.Conclusion: summarizes the main conclusions of this study and inadequacies.