Research on Public Engineering Emergency Decision-Making Based on Multi-Granularity Language Information

Abstract

To effectively deal with fuzzy and uncertain information in public engineering emergencies, an emergency decision-making method based on multi-granularity language information is proposed. Firstly, decision makers select the appropriate language phrase set according to their own situation, give the preference information of the weight of each key indicator, and then transform the multi-granularity language information through consistency. On this basis, the sequential optimization technology of the approximately ideal scheme is introduced to obtain the weight coefficient of each key indicator. Subsequently, the weighted average operator is used to aggregate the preference information of each alternative scheme with the relative importance of decision-makers and the weight of key indicators in sequence, and the comprehensive evaluation value of each scheme is obtained to determine the optimal scheme. Lastly, the effectiveness and practicability of the method are verified by taking the earthwork collapse accident in the construction of a reservoir as an example.