Research Area: Machine Learning
In order to improve the effectiveness of the rural finance credit guarantee system construction, a method for rural finance credit guarantee system construction based on analytic multi-hierarchy theory was proposed in the paper. Firstly, according to the issues regarding rural finance credit guarantee system construction, on the basis of the rural finance supply dual-structure and the formal and informal research perspective of the credit guarantee system as well as the clarification of the connotation and boundary of the credit guarantee form, a credit guarantee system of “dual-structure, four-hierarchy and n-type” was constructed; then, an analytic hierarchy process was introduced to analyze the rural finance credit guarantee system model, thus improving the effectiveness of the rural finance credit guarantee system evaluation; finally, the effectiveness of the proposed method was verified through empirical analysis.
Keywords:
Multilevel Factor Analysis
Online Financial Credit System
Machine Learning
Deep Learning
Author(s) Name: LiFu-You,Zhao and Wan-Nan
Journal name: Cognitive Systems Research
Conferrence name:
Publisher name: ELSEVIER
DOI: 10.1016/j.cogsys.2018.06.013
Volume Information: Volume 52, December 2018, Pages 466-472
