Privacy-preserving credit evaluation system based on blockchain

2021 ◽  
pp. 115989
Author(s):  
Yuncheng Qiao ◽  
Qiujun Lan ◽  
Zhongding Zhou ◽  
Chaoqun Ma
2021 ◽  
Author(s):  
Zhiwei Ying ◽  
Tao Yu ◽  
Yupeng Huang ◽  
Hanfu Wang ◽  
Dunnan Liu ◽  
...  

Author(s):  
Xiang Zou ◽  
Jinting Zhao ◽  
Yun Tong

This paper focuses on the construction of college students' credit evaluation system and credit risk management under the background of big data. Firstly, based on the 5C approach, this paper evaluates the personal credit of college students from 5 dimensions and 24 indicators, which finally contribute to the establishment of the credit evaluation system for college students. Then, the partial least squares method is used to build the structural equation model to evaluate the effectiveness of the credit evaluation system for college students. According to the in-depth analysis of PSL-SEM, the factors that affect the credit risk of college students are effectively evaluated, and it has contributed to the establishment and improvement of the credit system of college students. Keywords: Personal Credit, Credit Evaluation, Credit Risk, 5C Approach, PLS-SEM.


2014 ◽  
Vol 989-994 ◽  
pp. 4980-4984
Author(s):  
Xi Kun Liang ◽  
Li Min Tao

Based on the brief introduction of the credit evaluation system for the primary e-commerce platforms, the advantages and disadvantages of the existing systems were analyzed in details. Moreover, some important problems of e-commerce credit evaluation were systematically discussed, which include the uniform standard of rating scales and marks, the pattern of product rating, the evaluating model and algorithm of sellers and customers credit, etc. A complete credit evaluating model was constructed and an effective credit evaluating method was given. They can be selected as the reference for the practice of credit evaluation for e-commerce.


Sign in / Sign up

Export Citation Format

Share Document