Abstract:

In order to reduce the incidence of firefighter training injury, a firefighter training injury risk assessment index system containing 19 indexes was proposed from three aspects: individual factors, environmental factors and organizational management factors. The BON-OWA operator was used to correct the error of analytic hierarchy process(AHP) to obtain the subjective weight, and the criteria importance through intercriteria correlation(CRITIC) method was used to determine the objective weight. The game theory combinatorial weighting method was used to integrate the subjective weight and the objective weight to determine the combined weight. The risk assessment model of firefighter training injury was established based on the cloud model theory. The scientificity of the model was verified by the firefighter training in a fire rescue brigade in Henan province. The results show that the combat equipment performance condition index has the greatest impact on the risk level of firefighter training injury; The risk assessment model can determine the risk level of firefighter training injury by data processing. In the case, risk levels of firefighter training injury under five different scenarios are all general risk, which is consistent with the risk level obtained by the fuzzy comprehensive evaluation method.

Key words: game theory combinatorial weighting, cloud model, firefighter training injury, risk assessment, Bonferroni-ordered weighted averaging(BON-OWA )operator