Abstract: In order to solve the problem that the uncertainty, randomness and ambiguity of shopping mall fire safety evaluation indicators make it difficult for decision-makers to choose a suitable method to evaluate shopping mall fire safety, a shopping mall fire safety evaluation model based on fuzzy preference planning and cloud computing is proposed.The evaluation index system is constructed from six aspects: fire hazard source, building fire protection capability, surrounding firefighting capability, personnel evacuation capability, daily management capability, and safe evacuation capability. The combined fuzzy theory and analytic hierarchy process, introduced fuzzy preference programming model to calculate the index weight. The cloud model is used to switch between the two characteristics of qualitative and quantitative indicators. The method was used to evaluate the fire safety of a shopping mall in Zhengzhou, and it was concluded that: the fire safety level is high; It is necessary to pay attention to the distribution of combustibles, building characteristics, distance from the fire brigade, personnel distribution, fire safety investment, and evacuation passageway width.The study can provide feasible suggestions for daily fire management.

Key words: shopping mall, fire, safety evaluation, fuzzy preference programming, cloud model