Intuitionistic fuzzy set entropy: A novel measure for uncertainty management in complex group decision-making

Abstract

To measure the amount of uncertainty present in the data, fuzzy set plays crucial role and to predict the hidden information of any fuzzy set, entropy plays significant role. This research work proposes a new entropy measure specifically designed for intuitionistic fuzzy sets (IFS). The validation process verifies the efficacy of the proposed measure. In addition, specific case studied illustrates the practical applications of the proposed entropy measure in real-world multi-criteria group decision making as proposed measure has been integrated with TOPSIS methods. The findings highlight the importance of entropy measures in effectively managing uncertainty and diversity.