TODIM Dynamic Emergency Decision-Making Method Based on Hybrid Weighted Distance Under Probabilistic Hesitant Fuzzy Information

The classical TODIM method solves problems by expressing the attribute values as crisp numbers, thus incurring information loss. This paper, noting the ambiguity and fuzziness of information especially in a probabilistic hesitant fuzzy environment, develops a TODIM dynamic emergency decision-making method based on hybrid weighted distance. This method is suitable for emergency decision-making as it supports the rapidity and evolving nature of emergency responses, and accommodates the uncertainty of the external environment. A case study of a huge fire in China is used to validate the proposed method. The proposed TODIM method outperforms the methods proposed by Gao et al. in Int. J. Fuzzy. Syst. 19(5), 1261-1278 (2017) and Zhang et al. in Syst. 61, 48-58 (2014), suggesting its appeal in dealing with fuzzy information during emergency decision-making.

Automated summary

This study introduces a TODIM dynamic emergency decision-making method based on hybrid weighted distance to address the uncertainty of information in a probabilistic hesitant fuzzy environment. The proposed method outperforms existing methods and shows great potential in handling fuzzy information during emergency decision-making, as demonstrated through a case study of a large fire in China.