Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Overcrowding Level Risk Assessment in Railway Stations

Physics & Astronomy

• risk assessment 100%
• inference 78%
• stations 68%
• risk management 33%
• artificial intelligence 18%
• safety 12%
• disasters 9%
• congestion 9%
• decision making 8%
• predictions 6%
• traffic 6%
• education 6%
• platforms 5%
• performance 2%

Chemistry

• Risk Assessment 85%
• Safety 60%
• Decarbonization 58%
• Indicator 30%
• Flow 22%
• Environment 19%
• Reduction 16%
• Time 12%

Engineering & Materials Science

• Fuzzy inference 73%
• Risk assessment 68%
• Risk management 20%
• Artificial intelligence 11%
• Decarbonization 9%
• Uncertainty 8%
• Traffic congestion 7%
• Intelligent systems 6%
• Disasters 5%
• Decision making 4%
• Neural networks 3%