Risk assessment of data asset management based on fuzzy hierarchy method and association rules

In the current data asset management risk assessment, processing of assessment indicators is relatively simple, which leads to large errors in results. To this end, a based on fuzzy hierarchy method and association rules proposed. Identify factors for management. Construct model. Quantify model method, generate judgment matrix derive comprehensive vector. Assess levels rules. Experiments show that level has correct rate 100% error score 1.86 points, high application value.