A Novel Approach to Fuzzy Soft Set‐Based Group Decision‐Making

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 α‐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.