A novel approach to fuzzy soft set-based group decision-making.

*(English)*Zbl 1398.91179Summary: There are many uncertain problems in practical life which need decision-making with soft sets and fuzzy soft sets. The purpose of this paper is to develop an approach to effectively solve the group decision-making problem based on fuzzy soft sets. Firstly, we present an adjustable approach to solve the decision-making problems based on fuzzy soft sets. Then, we introduce knowledge measure and divergence degree based on \(\alpha\)-similarity relation to determine the experts’ weights. Further, we develop an effective group decision-making approach with unknown experts’ weights. Finally, sensitivity analysis about the parameters and comparison analysis with other existing methods are given.

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\textit{Q. Feng} and \textit{X. Guo}, Complexity 2018, Article ID 2501489, 12 p. (2018; Zbl 1398.91179)

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