Decision Analysis of Multifactor Credit Risk Based on Logistic Regression and BP Neural Network
Mathematical Problems in Engineering
; 2022, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1932833
ABSTRACT
Small, medium, and micro enterprises play an important role in the development of the national economy and are of great significance in promoting technological innovation, relieving employment pressure, facilitating people’s lives, and maintaining social stability. But in China, small, medium, and micro enterprises generally exist in the phenomenon of “financing difficulties.” Therefore, we need to find a method to forecast its credit risk. By using Python, SPSS, and other software, based on a two-component logistic regression model, assisted by multievaluation model and supported by game theory, this paper establishes an innovative comprehensive credit risk assessment model for small, medium, and micro enterprises.
Engineering; Research; Game theory; Decision analysis; Fuzzy sets; Risk assessment; Credit ratings; Regression models; Credit policy; Credit risk; Decision making; Small & medium sized enterprises-SME; Back propagation networks; Quantitative analysis; Supply & demand; Interest rates; Coronaviruses; Loans; Reputations; Financial institutions; COVID-19; China
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Prognostic study
Language:
English
Journal:
Mathematical Problems in Engineering
Year:
2022
Document Type:
Article
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