| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 4 | |
| Section | Artificial Intelligence and Digital Economy | |
| DOI | https://doi.org/10.1051/shsconf/202317001021 | |
| Published online | 14 June 2023 | |
Risk assessment of data asset management based on fuzzy hierarchy method and association rules
1 State Grid Zhejiang Electric Power CO., LTD., Hangzhou, Zhejiang, 310007, China
2 State Grid Zhejiang Economic Research Institute, Hangzhou, Zhejiang, 310012, China
* E-mail: zhang_yihong@sgcc.com.cn
In the current data asset management risk assessment, the processing of assessment indicators is relatively simple, which leads to large errors in the assessment results. To this end, a data asset management risk assessment based on fuzzy hierarchy method and association rules is proposed. Identify risk factors for data asset management. Construct a risk assessment model. Quantify the model indicators based on the fuzzy hierarchy method, generate a judgment matrix and derive a comprehensive assessment vector. Assess risk levels based on association rules. Experiments show that the risk level assessment of the method has a correct rate of 100% and the assessment error of the risk score is 1.86 points, which has high application value.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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