China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (2): 81-88.doi: 10.16265/j.cnki.issn1003-3033.2025.02.0202

• Safety engineering technology • Previous Articles     Next Articles

Fire risk assessment of large complex based on order relation analysis method

SUN Bin(), LI Hao, MAO Zhanli, BAI Zicong, LIU Yanqian   

  1. School of Fire Protection Engineering, China People's Police University, Langfang Hebei 065000, China
  • Received:2024-09-23 Revised:2024-11-25 Online:2025-02-28 Published:2025-08-28

Abstract:

To accurately identify and evaluate the fire risk in large-scale urban complexes, a fire risk assessment indicators system was constructed, consisting of 32 secondary indicators across six dimensions: building fire protection, fire protection facilities, electrical fire prevention, fire safety management, emergency response and coordination, and fire protection technical services. The order relation method was employed to determine the subjective weights of each indicator, while the entropy weight method was used to calculate the objective weights. Subsequently, a game-theory-based combined weighting approach was utilized to derive integrated weights, and a cloud model was applied to quantitatively analyze the fire risk of a large complex in a specific city. The results demonstrate that this combining model not only mitigates the subjectivity limitations in indicator weighting but also accounts for the fuzziness and randomness in the evaluation process. The primary risks of the large complex stem from fire protection technical services as well as emergency response and coordination, requiring preventive measures. Furthermore, the evaluation results are consistent with the actual situation, validating the feasibility of the proposed model in assessing fire risks for large-scale urban complexes.

Key words: large complexes, fire risk assessment, order relation, entropy weight method, cloud chart

CLC Number: