Title :
The Third Party Logistics Financial Credit Evaluation Model Research Based on Uncertain Information
Author :
Liu Xingui;Luo Ming
Author_Institution :
HuaiHua Vocational &
Abstract :
Supervision risk of the third party logistics enterprise logistics and logistics financial operating condition is taken as the investigation object in this paper. Through the selection of indicators and determination of the weight coefficient, we build a comprehensive and practical evaluation index system of logistics finance risk. Fuzzy comprehensive evaluation method is used to construct logistics financial risk assessment model. The proposed model risk is less than the traditional logistics finance business model.
Keywords :
"Transportation","Big data","Smart cities"
Conference_Titel :
Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
DOI :
10.1109/ICITBS.2015.237