Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators

Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators

To deal with the uncertainty and ensure the sustainability of the manufacturing industry, we designed a multi criteria decision-making technique based on a list of unique operators for single-valued neutrosophic hesitant fuzzy rough (SV-NHFR) environments with a high confidence level. We show that,...

Full description

Bibliographic Details
Main Authors: Muhammad Kamran, Rashad Ismail, Shahzaib Ashraf, Nadeem Salamat, Seyma Ozon Yildirim, Ismail Naci Cangul
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:AIMS Mathematics
Subjects:
confidence level
neutrosophic information
aggregation operators
hesitant information
rough sets
decision-making
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023605?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/math.2023605?viewType=HTML

Similar Items