Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets

作者：

Highlights：

• Distance and similarity measures on PHSSs are defined.

• Mathematical modeling of COVID-19 suspects data is performed.

• An AI based decision making technique is proposed backed by the proposed measures.

摘要

•Distance and similarity measures on PHSSs are defined.•Mathematical modeling of COVID-19 suspects data is performed.•An AI based decision making technique is proposed backed by the proposed measures.

论文关键词：COVID-19,Multi-criteria decision making (MCDM),Plithogenic distance measure (PDM),Plithogenic hypersoft set (PHSS),Plithogenic similarity measure (PSM)

论文评审过程：Received 14 September 2021, Revised 8 August 2022, Accepted 29 August 2022, Available online 2 September 2022, Version of Record 12 September 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102390