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针对模糊综合评判模型使矿山安全等级隶属度向量趋于均化的不足， 对安全评价的模糊模式识别模型进行了研究， 并对模糊综合评判模型进行了改进． 结果表明， 模糊模式识别模型并非在所有条件下都优于模糊综合评判模型， 其关键在于后者隶属函数的确定． 所构造的三角函数型隶属函数同样可使安全等级隶属度向量离散化， 且有可能优于前者． 给出了安全等级隶属度向量离散程度的评价指标．
According to the fuzzy comprehensive evaluation model, the membership vector of mine safety grade tends to be homogenized. The fuzzy pattern recognition model of safety assessment is studied, and the fuzzy comprehensive evaluation model is improved. The results show that the fuzzy pattern recognition model is not superior to the fuzzy comprehensive evaluation model in all conditions, and the key lies in the determination of the latter membership function. The constructed trigonometric membership functions also make it possible to discretize the security grade membership vector and may be superior to the former. The evaluation index of the degree of membership degree of safety grade is given.