z-logo
open-access-imgOpen Access
Big Data Audit of Banks Based on Fuzzy Set Theory to Evaluate Risk Level
Author(s) -
Yilin Bi,
Yuxin Ouyang,
Guang Sun,
Peng Guo,
Jianjun Zhang,
Yijun Ai
Publication year - 2020
Publication title -
journal on big data
Language(s) - English
Resource type - Journals
eISSN - 2579-0056
pISSN - 2579-0048
DOI - 10.32604/jbd.2020.01002
Subject(s) - internal audit , audit , information technology audit , big data , audit risk , audit plan , risk management , computer science , joint audit , business , accounting , risk analysis (engineering) , audit evidence , fuzzy set , fuzzy logic , data mining , finance , artificial intelligence

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom