A novel approach to hesitant multi-fuzzy soft set based decision-making

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Abstract

In this article, we present the idea of a hesitant multi-fuzzy set. We join the characteristics of a hesitant multi-fuzzy set with the parametrization of the soft set and constructs the hesitant multi-fuzzy soft set. We center around the fundamental operations for the instance of the hesitant multi-fuzzy soft subsets. Also, we look at the root mean square sum level soft set or RMSS-level soft set to deal with uncertainties. We also provide the utilization of hesitant multi-fuzzy soft set into the decision-making issues. Finally, we deliver a standard algorithm to resolve decision-making issues and test the effectiveness of it by a socialistic decision-making problem.

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Dey, A., Senapati, T., Pal, M., & Chen, G. (2020). A novel approach to hesitant multi-fuzzy soft set based decision-making. AIMS Mathematics, 5(3), 1985–2008. https://doi.org/10.3934/math.2020132

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