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

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Abstract

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.

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  1. Department of Mathematics, Saveetha School of Engineering, SIMATS, Chennai, India

    P. Miya Fathima Benazir & G. Gomathi

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  1. P. Miya Fathima Benazir
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  2. G. Gomathi
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P.Miya Fathima Benazir and G.Gomathi contributed to the design and implementation of the research, to the analysis of the results and to the writing of the manuscript.

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Correspondence to G. Gomathi.

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Benazir, P.M.F., Gomathi, G. Comparative analysis of covering based soft rough sets and multi-layered fuzzy attributed fuzzy soft matrices. OPSEARCH (2024). https://doi.org/10.1007/s12597-024-00764-2

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