Extension of CODAS Method Under Cubic Pythagorean fuzzy set for Multi-Criteria Decision Making Problems

Multi-criteria decision-making (MCDM) approaches are effective and reliable to solve problems with uncertain conditions. The Cubic Pythagorean fuzzy set (CPFS) is the newest model of fuzzy set theory. The aim of this article is to develop cubic Pythagorean fuzzy Combinative Distance-based assessment (PCF-CODAS) by combining CODAS with CPFS, to solve MCDM problems. This method employs the Euclidean distance (ℰ𝒟̅̅̅̅) as the major measure and Taxicab distance (𝒯𝒟̅̅̅̅) as the secondary measure to determine the desirability of the alternative. These distances are calculated with the negative-ideal solution. Furthermore, an example is provided to assess the practicality of the proposed methodology. We also provided a comprehensive sensitivity study to test the CPF-CODAS results and compare them with some existing MCDM methods. These evaluations reveal that the proposed methodology is efficient and the results are stable.