scholarly journals Credit Risk Evaluation Model Development Using Support Vector Based Classifiers

2011 ◽  
Vol 4 ◽  
pp. 1699-1707 ◽  
Author(s):  
Paulius Danenas ◽  
Gintautas Garsva ◽  
Saulius Gudas
Keyword(s):  
Credit Risk ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Model Development ◽  
Support Vector ◽  
Risk Evaluation Model

Study on Safety Risk Evaluation of High-Way Under-Passing Railroad

2013 ◽  
Vol 838-841 ◽  
pp. 1263-1267
Author(s):  
Ke Xu ◽  
Hui Min Li ◽  
Sha Sha Lu
Keyword(s):  
Scientific Method ◽  
Risk Evaluation ◽  
High Speed ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Support Vector ◽  
Safety Risk ◽  
Sample Data ◽  
Current Stage ◽  
Risk Evaluation Model

It is inevitable to make the new-built highways under-pass the existing railroad by virtue of high-speed development of the transportation in China. Since the relevant surveys on the safety risk evaluation of this kind of the project are lacked at this current stage as well as the limited referential sample data, the survey is to research the factors of safety risk and the self-characteristics as well as to build up the safety risk evaluation model by means of support vector machine plus the analysis with the help of the project example. It turns out that the analyzed result by means of the model has the propinquity with the expected result, as means the model with the limited samples is characterized of improving the objective correctness of the evaluation result in order to supply a scientific method for the safety evaluation of this kind of projects.

scholarly journals Personal Credit Risk Evaluation Model of P2P Online Lending Based on AHP

Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 83
Author(s):  
Fengpei Wu ◽  
Xiang Su ◽  
Young Seok Ock ◽  
Zhiying Wang
Keyword(s):  
Credit Risk ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Rapid Development ◽  
Fuzzy Comprehensive Evaluation ◽  
Scoring Method ◽  
Personal Credit ◽  
Online Lending ◽  
Risk Evaluation Model

With the rapid development of the P2P (peer-to-peer) online lending industry, which is facing significant credit risk, personal credit evaluation is an important method to reduce credit risk. Based on the various indexes of personal credit risk evaluation of domestic and foreign commercial banks, and according to the characteristics of P2P online lending, this paper analyzes the factors that affect the credit risk of P2P online borrowers, introduces the unique risk factors in the field of Internet information, and constructs an index system of personal credit risk evaluation of P2P online lending, which combines qualitative and quantitative indexes, including six major indexes and 21 small indexes. It then quantifies each index and defines the judgment standard of the evaluation results. Using analytic hierarchy process (AHP), expert scoring method, and fuzzy comprehensive evaluation method, this paper establishes a personal credit risk evaluation model of P2P online lending based on AHP method. The public information of two borrowers on the “PaiPai Lending” platform are selected for experimental verification. The results show that the improved personal credit risk evaluation model has better applicability and can evaluate the borrower’s credit status more scientifically, accurately, and comprehensively; thus, it is an effective method of personal credit risk evaluation of P2P online lending.

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