International Journal of Frontiers in Engineering Technology, 2021, 3(4); doi: 10.25236/IJFET.2021.030403.
Linfeng Jiang, Fujie Sun, Jingxi Lian
South China Agriculture University, Guangzhou, Guangdong, 510642, China
The paper is to build a mathematical model of the time series data recorded by the equipment in the production area from 00:00:00-22:59:59 on a certain day and the data used in the experiment is from the May Day Mathematical Contest in Modeling. According to the two characteristics of risky data sustainability and linkage, the Risky Data Detection Model based on partition and statistical analysis is established, and then dividing the abnormal group into non-risky data and risky data. After normalization, establishing a Comprehensive Evaluation Model based on Entropy Weight Method and TOPSIS Method, scoring the degree of abnormal on the data among each moment.
Risk Anomaly Data, Entropy Weight Method, TOPSIS Method
Linfeng Jiang, Fujie Sun, Jingxi Lian. Comprehensive evaluation model of abnormal production data based on Entropy Weight Method and TOPSIS Method. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 4: 20-23. https://doi.org/10.25236/IJFET.2021.030403.
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