Abstract: At the early stage of coal mine accident, there are uncertain evaluation information resulting from urgency in the decision-making of emergency rescue , and which hardly adapt the traditional decision-making methods based on crisp numbers. In view of this, a novel emergency rescue decision-making method based on intuitionistic fuzzy soft sets(IFSSs)is proposed in this paper. With respect to the defect existed in current axiomatic definition of IFSSs entropy, an improved definition of IFSSs entropy is put forward and corresponding formula is structured. Futhermore, the rationality and efficiency of the proposed entroy formula are demonstrated by comparing with former entropy formulas of IFSSs. Next, comprehensive attribute weights are obtained according to the proposed entropy formula of IFSSs, meanwhile the emergency rescue plans are ranked by the method of generalized TOPSIS. Finally, the proposed emergency rescue decision-making method is applied in the case of emergency rescue coal mine. The results show that the emergency rescue decision-making method based on IFSSs can reflect and handle the uncertain information, and reaching better resolution result, which can provide decision support for emergency rescue under the coal mine accidents.

Key words: coal mine accident, emergency rescue decision-making, intuitionistic fuzzy soft sets, entropy

摘要： 在煤矿突发事故初期,时间的紧迫性和环境的复杂性导致应急救援决策中的评估信息存在不确定性,传统基于确数的决策方法难以适用,对此本文提出了一种基于直觉模糊软集(IFSSs)的煤矿应急救援决策方法。首先对现有IFSSs熵公理化定义中的不合理之处进行修正,进而据此构造新的IFSSs熵计算公式,并通过与既有IFSSs熵公式的对比算例表现了新公式的合理性和有效性。然后基于新熵公式给出属性综合权重的确定方法,再利用推广的TOPSIS方法对预案进行排序以确定最优煤矿应急救援预案。最后将本文提出的方法应用于某煤矿应急救援实例。结果表明,基于IFSSs的煤矿应急救援决策方法能充分利用和有效处理不确定性的信息,具有更好的决策分辨效果,可以为煤矿突发事故的应急救援提供决策支持。

关键词: 煤矿突发事故, 应急救援决策, 直觉模糊软集, 熵