A set theoretic similarity measure for fuzzy soft sets and its application in group decision making

This paper introduces a new set theoretic-based similarity measure for fuzzy soft sets. A fuzzy soft set similarity aggregation procedure for aggregating individual fuzzy soft sets into a collective fuzzy soft set is proposed. The new similarity measure is used to determine the collective coefficient of individual fuzzy soft sets. A group decision making model is then presented and illustrated with numerical example.