A fuzzy Einstein-based decision support system for public transportation management at times of pandemic

作者：

Highlights：

• We consider the selection of a public transportation management method in a pandemic, COVID-19.

• 4 public transportation management alternatives are prioritized using 13 criteria, 4 main aspects.

• We develop a novel method Einstein T-norm and T-conorm based Combined Compromise Solution (CoCoSo).

• We apply the logarithmic additive function to find out the criteria weights.

• Fuzzy Einstein weighted averaging and geometric functions based CoCoSo is used.

摘要

•We consider the selection of a public transportation management method in a pandemic, COVID-19.•4 public transportation management alternatives are prioritized using 13 criteria, 4 main aspects.•We develop a novel method Einstein T-norm and T-conorm based Combined Compromise Solution (CoCoSo).•We apply the logarithmic additive function to find out the criteria weights.•Fuzzy Einstein weighted averaging and geometric functions based CoCoSo is used.

论文关键词：Public transportation management,Fuzzy sets,CoCoSo,Einstein norms,Logarithmic additive function

论文评审过程：Received 25 May 2022, Revised 4 July 2022, Accepted 8 July 2022, Available online 14 July 2022, Version of Record 25 July 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109414