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Research on Credit Evaluation of Construction Market EntitiesBased on Conditional Random Field

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Publicado en:IOP Conference Series. Earth and Environmental Science vol. 643, no. 1 (Jan 2021)
Autor principal: Zou Zhenyu
Otros Autores: Feng Jingchun, Huang Zhecheng, Zhang, Ke, Zou Lei
Publicado:
IOP Publishing
Materias:
Field theory
Mathematical analysis
Random variables
Entropy
Characteristic functions
Conditional random fields
Economic
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/643/1/012179
Fuente:Publicly Available Content Database