Content area

Abstract

This paper firstly judges the change of credit level of the credit subject from the dynamic perspective of "state-behavior". Then, according to the conditional random field theory, the data of credit behavior and credit status are taken as random variables in the conditional random field to construct multiple characteristic functions representing the relationship between the credit behavior and the credit status. And finally, the credit evaluation system based on the conditional random field is constructed. In summary, this paper constructs a credit evaluation framework of market entities from the credit evaluation system and conditional random field credit labeling, which can be used in the construction of market credit dynamic supervision for reference.

Details

1009240
Title
Research on Credit Evaluation of Construction Market EntitiesBased on Conditional Random Field
Author
Zou Zhenyu 1 ; Feng Jingchun 2 ; Huang Zhecheng 1 ; Zhang, Ke 2 ; Zou Lei 1 

 Business School, Hohai University, Nanjing 211100 
 Business School, Hohai University, Nanjing 211100; Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing 211100 
Volume
643
Issue
1
Publication year
2021
Publication date
Jan 2021
Publisher
IOP Publishing
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2021-01-26
Milestone dates
2021-01-01 (openaccess)
Publication history
 
 
   First posting date
26 Jan 2021
ProQuest document ID
2513084914
Document URL
https://www.proquest.com/scholarly-journals/research-on-credit-evaluation-construction-market/docview/2513084914/se-2?accountid=208611
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-10-07
Database
ProQuest One Academic