Risk prediction of product-harm events using rough sets and multiple classifier fusion: an experimental study of listed companies in China

Computer Science

• Rough Set 100%
• multiple classifier 100%
• Data Mining 33%
• Neural Network 16%
• Support Vector Machine 16%
• Classification Models 16%
• Experimental Result 16%
• Genetic Algorithm 16%
• Majority Voting 16%
• Network Support 16%
• Index System 16%
• Fuzzy Clustering 16%
• Case-Based Reasoning 16%
• Predictive Accuracy 16%
• attribute reduction 16%

Chemical Engineering

• Neural Network 100%
• Case Based Reasoning 100%
• Support Vector Machine 100%

Engineering

• Risk Prediction 100%
• Experimental Result 20%
• Support Vector Machine 20%
• Genetic Algorithm 20%
• Risk Level 20%
• Network Support 20%