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August 21, 2025Open Access

Novel Score Function For Ranking of Intuitionistic Fuzzy Set

Key Points

The novel score function outperforms existing methods in ranking intuitionistic fuzzy numbers, enhancing decision-making in uncertain conditions.
Validity testing and desirable properties assessment demonstrate the proposed method's superiority over prior score functions.
Developed using a unique approach, this score function rectifies deficiencies in current intuitionistic fuzzy number ranking methodologies.
Data trials confirm the proposed score function's efficacy, establishing it as a more effective tool for decision-makers.

Abstract

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.

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Cite This Study

A Thu, study studied this question.

synapsesocial.com/papers/68af4ec0ad7bf08b1ead7c7e https://doi.org/https://doi.org/10.46632/daai/5/1/11

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