An Enhanced Score Function for Quadripartitioned Single-Valued Neutrosophic Sets

The concept of the fuzzy neutrosophic soft matrix (NSM) has advanced by integrating the neutrosophic set (NS) with a soft set to manage uncertain data. The recently introduced theory of fuzzy quadripartitioned NSM generalizes the NSM. Within this quadripartitioned single-valued (QSV) NS, the indeterminacy function’s partition is categorized into contradiction and ignorance values. This study introduces an enhanced score function (SF) and accuracy function (AF) for the QSVNS, addressing existing limitations. Their properties are explored and verified through specific cases. Additionally, an example demonstrates the proposed multi-criteria decision-making method, emphasizing the importance of ranking orders in determining optimal outcomes. A comparative analysis showcases the efficacy of the new SF and AF against traditional methods.