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

Abstract EN

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.