A large-group dynamic decision-making method for assessing storm surge emergency plans under hybrid information

Storm surges are natural disasters that cause abnormal fluctuations in seawater owing to severe atmospheric disturbances. Storm surges have the characteristics of a fierce, fast and destructive force, and can cause serious casualties and economic losses in coastal areas. To minimize losses within the shortest time and with less ma-terial consumption, it is technological to improve emergency decision-making capacity. Therefore, in this paper, a dynamic emergency large-group decision-making (DELGDM) model is proposed to technological evaluate multiple emergency plans. A novel evaluation framework of storm surge disaster emergency plans is firstly established from the two dimensions of the objectives of storm surge emergency response plan and the char-acteristics of storm surge emergency response action. The uncertain power Maclaurin symmetric mean (UPMSM) operator is then proposed by considering that the unreasonable assessment of large-group decision-makers (DMs) can affect the decision results and the interrelationship among input parameters. Moreover, the social network theory is introduced to evaluate the trust relationships among large-group DMs, and the weight of experts is determined by combining the influence of experts and their knowledge and experience level. Finally, the effectiveness of the proposed method is verified through a case study on storm surge emergency plan optimi-zation. The method is applicable to the optimization of emergency decision-making and provides ideas for solving the selection of various emergency plans.