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.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |