Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression

This article uses support vector machines, logistics regression, and other methods for the comprehensive evaluation of credit decision-making of small, medium, and microenterprises and comprehensively uses software programming such as MATLAB and SPSS Modeler to solve the problem. The results, such a...

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Main Authors: Rui Xie, Rui Liu, Xian-Bei Liu, Jia-Ming Zhu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/5541436
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author Rui Xie
Rui Liu
Xian-Bei Liu
Jia-Ming Zhu
author_facet Rui Xie
Rui Liu
Xian-Bei Liu
Jia-Ming Zhu
author_sort Rui Xie
collection DOAJ
description This article uses support vector machines, logistics regression, and other methods for the comprehensive evaluation of credit decision-making of small, medium, and microenterprises and comprehensively uses software programming such as MATLAB and SPSS Modeler to solve the problem. The results, such as credit risk evaluation index system, credit risk classification model, and credit decision-making comprehensive evaluation model, are obtained. Finally, this article starts from the credit decision of small, medium, and microenterprises and provides theoretical and practical suggestions for banks to control the risks of small, medium, and microenterprises and their own development.
format Article
id doaj-art-4e95d17dfde445e68f11467dc7eb3cd0
institution Kabale University
issn 2314-4629
2314-4785
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-4e95d17dfde445e68f11467dc7eb3cd02025-02-03T06:47:04ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/55414365541436Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics RegressionRui Xie0Rui Liu1Xian-Bei Liu2Jia-Ming Zhu3School of Accounting, Anhui University of Finance and Economics, Bengbu 233030, ChinaSchool of Accounting, Anhui University of Finance and Economics, Bengbu 233030, ChinaSchool of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu 233030, ChinaSchool of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu 233030, ChinaThis article uses support vector machines, logistics regression, and other methods for the comprehensive evaluation of credit decision-making of small, medium, and microenterprises and comprehensively uses software programming such as MATLAB and SPSS Modeler to solve the problem. The results, such as credit risk evaluation index system, credit risk classification model, and credit decision-making comprehensive evaluation model, are obtained. Finally, this article starts from the credit decision of small, medium, and microenterprises and provides theoretical and practical suggestions for banks to control the risks of small, medium, and microenterprises and their own development.http://dx.doi.org/10.1155/2021/5541436
spellingShingle Rui Xie
Rui Liu
Xian-Bei Liu
Jia-Ming Zhu
Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
Journal of Mathematics
title Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
title_full Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
title_fullStr Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
title_full_unstemmed Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
title_short Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
title_sort evaluation of smes credit decision based on support vector machine logistics regression
url http://dx.doi.org/10.1155/2021/5541436
work_keys_str_mv AT ruixie evaluationofsmescreditdecisionbasedonsupportvectormachinelogisticsregression
AT ruiliu evaluationofsmescreditdecisionbasedonsupportvectormachinelogisticsregression
AT xianbeiliu evaluationofsmescreditdecisionbasedonsupportvectormachinelogisticsregression
AT jiamingzhu evaluationofsmescreditdecisionbasedonsupportvectormachinelogisticsregression