Comparative analysis of covering based soft rough sets and multi-layered fuzzy attributed fuzzy soft matrices

The aim of this study is to introduce an algorithm that enhances the accuracy of decision-making by ranking the attributes. In addition, we analysis and exploit covering based soft rough sets and multilayered fuzzy attributed fuzzy soft matrices notions to creates an algorithm that can handle intric...

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Bibliographic Details
Published in:Opsearch 2024, Vol.61 (4), p.2055-2071
Main Authors: Benazir, P. Miya Fathima, Gomathi, G.
Format: Article
Language:English
Subjects:
Algorithms
Application Article
Artificial intelligence
Business and Management
Decision making
Economics
Electronic commerce
Fuzzy sets
Management
Mathematics
Multilayers
Operations Research/Decision Theory
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Summary:The aim of this study is to introduce an algorithm that enhances the accuracy of decision-making by ranking the attributes. In addition, we analysis and exploit covering based soft rough sets and multilayered fuzzy attributed fuzzy soft matrices notions to creates an algorithm that can handle intricate scenarios involving decision making. These approaches are used to evaluate consumer satisfactions level in the E-commerce domain, which helps businesses optimise results by empowering them to make well-informed decisions and adjust their strategies in the face of a constantly changing E-commerce environment.
ISSN:0030-3887
0975-0320
DOI:10.1007/s12597-024-00764-2