An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment

An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment

In this research, we first offer unique notions of averaging and geometric aggregation operators with confidence level by employing a probabilistic neutrosophic hesitant fuzzy rough framework. Then, we look into other descriptions of the suggested operators, such as idempotency, boundedness, and mon...

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Bibliographic Details
Main Authors: Muhammad Kamran, Rashad Ismail, Esmail Hassan Abdullatif Al-Sabri, Nadeem Salamat, Muhammad Farman, Shahzaib Ashraf
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Symmetry
Subjects:
confidence level aggregation operators
neutrosophic sets
rough sets
decision-making
Online Access:https://www.mdpi.com/2073-8994/15/3/578

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