Electrical fire is a very important fire type in high-rise building fire. Therefore, it has high research value for risk assessment of electric fire in high-rise buildings. However, it is difficult to accurately obtain the weight index coefficient of electrical fire risk assessment by single qualitative or quantitative risk assessment method, so the reliability and objectivity of electrical fire risk assessment cannot be guarantee. In order to solve this problem, a method of using numerical simulation to obtain different types of fire risk data is proposed. Then, taking fire risk influencing factors as the research object, a comprehensive fire risk evaluation system is established. Through the comprehensive evaluation system, the electrical fire risk data are evaluated to determine the electrical fire risk weight coefficient. The results show that the fire risk quantification scheme of weight coefficient proposed in this paper can eliminate the subjectivity of traditional expert ratings. The proposed evaluation standard is a comprehensive evaluation system based on the numerical simulation and analytic hierarchy process. Above mentioned method can improve the reliability and accuracy of the weight coefficient of electrical fire risk assessment, and provide a theoretical basis for the research and classification of fire risk.

At present, there are some problems in the research of electrical fire risk assessment of high-rise buildings, such as the evaluation index is relatively single and the fuzziness of evaluation state boundary is not considered. This study proposed an electrical fire risk assessment method of high-rise buildings based on hybrid decision model considering asymmetric proximity. Based on the occurrence mechanism of electrical fire in high-rise buildings, a four-level evaluation index system considering disaster causing body, fire site environment, affected body and fire driving factors is established based on FP growth (Frequent Pattern Tree Growth) mining association rules,