A Modified Aggregation Operator and Score Function for Solving Multicriteria Decision Making Problem Under Neutrosophic Environment

This chapter introduces a novel aggregation operator and score function designed to tackle multicriteria decision-making (MCDM) problems within neutrosophic environments. The method is particularly relevant for professionals dealing with complex decision-making scenarios where uncertainty, inconsistency, and indeterminacy are prevalent. The chapter begins by discussing the historical context and evolution of decision-making methodologies, from fuzzy environments to neutrosophic sets. It then delves into the development of a modified aggregation operator and score function, which are specifically tailored to handle the unique challenges posed by neutrosophic data. The practical application of these tools is demonstrated through two detailed examples: one involving an investment firm evaluating different industries and another focusing on a company selecting the best supplier for raw materials. The chapter also includes a comprehensive comparison with existing methods, highlighting the advantages of the proposed approach in terms of accuracy and robustness. The results indicate that the proposed method effectively balances various criteria and provides a more stable and balanced ranking of alternatives. The conclusion emphasizes the potential of the proposed method in diverse fields such as business, engineering, healthcare, and environmental studies, offering a robust framework for decision-making in complex and uncertain environments.