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,...
Main Authors: | Muhammad Kamran, Rashad Ismail, Shahzaib Ashraf, Nadeem Salamat, Seyma Ozon Yildirim, Ismail Naci Cangul |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-03-01
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Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2023605?viewType=HTML |
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