Open AccessResearch on Credit Evaluation of Construction Market EntitiesBased on Conditional Random Field
Author(s) -
Zou Zhen-yu,
Jingchun Feng,
Huang Zhecheng,
Ke Zhang,
Lei Zou
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/643/1/012179
Subject(s) - conditional random field , field (mathematics) , econometrics , credit history , construct (python library) , credit reference , computer science , actuarial science , business , credit risk , mathematics , artificial intelligence , finance , programming language , pure mathematics
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.