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针对矿山系统安全的随机性及模糊性 ,将模糊熵引入系统安全性评价模型的建模之中 ,提出了基于模糊熵和权广义距离之和最小的模糊模式识别模型 ,实现了系统安全等级隶属度向量的离散化 ,给出了模糊熵和权广义距离之间平衡参数的两种确定方法。实例表明 ,该模型优于基于权广义距离平方和最小的原则所建立的模糊模式识别模型 ;平衡参数的两种确定方法对评价结果具有良好的一致性。模糊熵可作为安全等级隶属度向量离散程度的评价指标。
Aiming at the randomness and fuzziness of mine system safety, the fuzzy entropy is introduced into the modeling of system safety evaluation model. The fuzzy pattern recognition model based on the sum of fuzzy entropy and generalized distance is proposed, and the system security level The discretization of the degree vector gives two methods to determine the equilibrium parameters between the fuzzy entropy and the generalized distance. The example shows that the proposed model is superior to the fuzzy pattern recognition model established based on the principle of the sum of squares of the generalized distance of weights. The two methods of determining the equilibrium parameters have good consistency with the evaluation results. Fuzzy entropy can be used as the evaluation index of the degree of membership vector dispersion of safety grade.