Personal Credit Assessment of Student Loans Based on Improved Analytic Hierarchy Process

Abstract

In order to establish a more rational and accurate personal credit scoring model for student loans, an improved Analytic Hierarchy Process (AHP) is presented in this paper. The proposed method first uses the Principal Component Analysis (PCA) to select the main components affecting the personal credit of student loans, and then uses the AHP to analyze the personal credit of college students. The results show that the proposed method is reasonable and effective that can provides a simpler and more accurate basis of decision for student loans.