Evaluation of SMEs' credit decision based on support vector machine-logistics regression
type: Item
instance of: scholarly article
title: Evaluation of SMEs' credit decision based on support vector machine-logistics regression
zbMATH Open document ID: 1477.91059
DOI: 10.1155/2021/5541436
author: Rui Xie
author: Rui Liu
author: Xian-Bei Liu
author: Jiaming Zhu
published in: Journal of Mathematics
publication date: 2021-06-22T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 91G40
Mathematics Subject Classification ID: 62P05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 7361996
describes a project that uses: BacHbpred
describes a project that uses: SPSS
describes a project that uses: Matlab
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2021/5541436
OpenAlex ID: W3133735001
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description: scientific article; zbMATH DE number 7361996