Study on the Comprehensive Evaluation Model of Coal Mine Workers’ Security Features

摘要

According to the present situation that human accidents account for a large part, aiming at different numbers of subjects, this paper describes two kinds of comprehensive evaluation model of coal miners’ security features. One is fuzzy neural network evaluation model applying to a single employee evaluation, which combines fuzzy comprehensive evaluation and BP neural network. The other is comparison model of grey target suiting to optimize multiple employees, which links AHP and decision method of grey target. The analytical result shows that fuzzy neural network evaluation model and the grey target model respectively provide objective and quantitative methods for individual and group evaluation.