Explainable Artificial Intelligence (XAI)-Enabled Probabilistic Fire Risk Prediction for High-Rise Residential Buildings: SHAP Attribution of Human and Organisational Risks

Fire safety in high-rise residential buildings depends on active fire protection systems subject to technical, human, and organisational risks. Prior probabilistic models incorporating human and organisational errors (HOEs) raise expected risk-to-life by 20 to 37%, yet remain inaccessible to the own...

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מידע ביבליוגרפי

Principais autores:	Samson Tan, Teoh Teik Toe, Paul Joseph, Khalid Moinuddin
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-06-01
סדרה:	Buildings
נושאים:	explainable artificial intelligence SHAP probabilistic fire risk assessment Bayesian network human and organisational errors
גישה מקוונת:	https://www.mdpi.com/2075-5309/16/13/2538
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!