【摘要】 提出了基于直觉模糊集的煤矿突发事件应急救援TOPSIS群决策模型。其中决策者权重采用偏好值与群体平均偏好值的相似度计算,属性指标权重采用直觉模糊熵权法确定。通过直觉模糊加权集成运算将各决策矩阵进行合成得到综合决策矩阵,利用改进后的直觉模糊距离公式计算出全部备选救援方案到正负理想解的距离,根据TOPSIS运算结果可以确定最佳事故救援决策方案。最后通过黑龙江省鸡西某矿的实例分析,验证了该模型的有效性及合理性。更多还原

【Abstract】 A coal mine emergency rescue model of TOPSIS group decision making is proposed based on intuitionistic fuzzy sets. The decision makers weights are calculated using similarity of preference value and the average preference,attribute index weight is determined with intuitionistic fuzzy entropy weight method. All decision matrices are synthesized to get the comprehensive decision matrix through integrated operation of weighted intuitionistic fuzzy numbers. All the distances between alternative rescue scheme and the positive and negative ideal solution are calculated by the improved intuitionistic fuzzy distance formulas. The optimal accident rescue decision scheme is got according to the results of TOPSIS algorithm. At last,a coal mine in Jixi City is taken as an example to analysis and prove the validity and rationality of the model.更多还原