A multi-attribute decision-making strategy for project management using the modified TOPSIS of multi-valued multi-polar neutrosophic hypersoft sets

When dealing with uncertainties and conflicting criteria in project management, complex Multi Attribute Decision Making (MADM) techniques are used. This study presents a novel approach by incorporating a Modified Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with Multi Valued Multi Polar Neutrosophic Hypersoft Sets (MVMPNHSS). The model’s ability to manage variability and imprecise information within pseudo-realistic data, crafted to mimic actual challenges in project management, was tested. The model was designed to improve the efficiency and reliability of decision-making in the computation processes employed. Findings indicate that the developed method resolves issues posed by uncertainty through multifaceted states of membership, non-membership, and indeterminate overlap. It has shown to outperform other established methods on systematic project lapse evaluation measures by improving accuracy in assessing project alternatives. The structural comparative analysis discussed in this paper captures gaps in available literature and the value added by the proposed approach. The focus of this research was on providing specific guidelines aimed at project managers while underlining the need to implement the suggested methodology to improve decision-making efficiency and optimize project results in volatile environments.