Abstract
In this article, firstly, definitions and examples of soft sets and fuzzy soft sets are given. Then, multi-soft sets and multi-fuzzy soft sets are described and exampl es are examined. The concept of entropy, one of the instruments measuring uncertainty, is given. A new method is proposed by creating an algorithm. The entropies of multi-fuzzy soft sets are found and converted to matrices and some analysis are done by finding the maximums of their sums.Thus, by following the algorithm stages, the most effective parameter value and amount are found, and data that supports the decision process is obtained. Then, the effects of two different drug groups are evaluated by following the algorithm steps. An algorithm to be used in the decision-making process is created and used on the sample. When the analysis and algorithm results are observed, it is understood that it is the closest result to the best choice. As a result, it isdetected that the most accurate selection would be approached by using similarity measure, andentropy algorithm in multi-fuzzy soft sets.
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Şanlıbaba, İ., Jana, C. A novel method for decision-making approach using multi-fuzzy soft systems with applications in analyzing the ımpact of two distinct drug categories. Comp. Appl. Math. 43, 290 (2024). https://doi.org/10.1007/s40314-024-02791-7
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DOI: https://doi.org/10.1007/s40314-024-02791-7