Research Article
A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory
Table 3
Classification statistics of each index factor.
| First-class indicator | Second-class indicator | Frequency | Percentage |
| A Organizational influences | A1 Organization structure and responsibility | 114 | 0.6129 | A2 Safety investment | 55 | 0.2957 | A3 Safety laws and regulations | 20 | 0.1075 |
| B Unsafe supervision | B1 Education and training | 175 | 0.9409 | B2 Safety supervision, inspection, and acceptance | 157 | 0.8441 | B3 Risk monitoring | 132 | 0.7097 | B4 Emergency rescue | 9 | 0.0484 | B5 Accident report, investigation, and treatment | 7 | 0.0376 |
| C Preconditions for unsafe acts | C1 Operating environment | 112 | 0.6022 | C2 Technical measurements | 142 | 0.7634 | C3 Team management | 144 | 0.7742 | C4 Poor personal basic situation | 175 | 0.9409 | C5 Occupational health | 5 | 0.0269 | C6 Mechanical equipment | 23 | 0.1237 | C7 Material | 10 | 0.0538 |
| D Unsafe acts of operators | D1 Perception and decision errors | 79 | 0.4247 | D2 Skill-based errors | 80 | 0.4301 | D3 Violation operations | 120 | 0.6452 |
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