AbstractDynamics fuzzy sets outperform fuzzy sets for dealing with unclear situations. There are many applications for fuzzy similarity metrics, including cluster analysis, problem classification, and even medical diagnosis. Lean entropy measurements are essential to determine the weights of the criteria in a situation involving multi-criteria decision-making. In this paper, we introduce and suggest alternative similarity measures for Dynamics fuzzy collections. We developed some new entropy metrics for using recommended similarity assessments. Dynamics fuzzy collections. Finally, in a Dynamics fuzzy environment, a novel multi-attribute decision-making method is developed that solves a significant limitation of the famous decision-making methodology, namely, the technique for order preference by similarity to the ideal solution.