Novel Score Function For Ranking of Intuitionistic Fuzzy Set

The score function is a crucial instrument for ranking of intuitionistic fuzzy numbers (IFNs). It assists decision-makers in more precise data processing and decision-making in uncertain conditions. This study presents a novel score function of IFNs. By using proposed score function, we develop a new method to compare the IFNs. Additionally, we assess the validity of the proposed score function by examining additional desirable properties. The proposed score function can rectify the deficiencies of the existing score functions of IFNs, which are unable to compare the IFNs. Ultimately, data trials are conducted that confirm the efficacy of the proposed score function, resulting in the conclusion that it surpasses the existing score functions of IFNs.