A novel decision-making approach for the selection of best deep learning techniques under logarithmic fractional fuzzy set information

A novel decision-making approach for the selection of best deep learning techniques under logarithmic fractional fuzzy set information

Abstract Deep learning (DL), which is a branch of machine learning (ML) and artificial intelligence (AI), has become a fundamental element of contemporary technological advancements. To facilitate such processes, data representation is crucial, often transitioning from crisp sets to generalized form...

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Bibliographic Details
Main Authors: Naseer Ullah, Muhammad Azam, Muhammad Abbas, Wajid Hussain, Asnake Birhanu, Khaled A. Gepreel
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Fuzzy set
Fuzzy credibility set
Rough set
Deep learning
COPRAS method
Online Access:https://doi.org/10.1038/s41598-025-03389-7
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https://doi.org/10.1038/s41598-025-03389-7

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