Multi-criteria Optimization Technique with Complex Pythagorean Fuzzy N-soft Information

Abstract The main objective of this article is to lay the foundations a novel multi-criteria optimization technique, namely, complex Pythagorean fuzzy N -soft VIKOR (CPFNS-VIKOR) method that highly proficient express great deal linguistic imprecision and vagueness inherent in human assessments. This strategy provides versatile decision-making tool for ranking-based modeling two-dimensional parameterized data. CPFNS-VIKOR integrates ground-breaking specialities with outstanding parametric structure model. It exclusively designed specification compromise optimal solution having maximum group utility minimum individual regret opponent by analyzing their weighted proximity from ideal solutions. developed factually permits specific terms demystify perspectives experts regarding efficacy alternatives priorities applicable criteria. We comprehensively assemble these independent appraisals all using averaging operator. Moreover, we calibrate ranking measure utilizing order specify hierarchical outranking feasible alternatives. demonstrate systematic methodology framework proposed assistance an explicative flow chart. skilfully investigate empirical analysis related selection constructive industrial robots modernization manufacturing industry which really justifies remarkable accountability strategy. Furthermore, validate technique comparative study existing TOPSIS (CPF-TOPSIS) method, (CPF-VIKOR) (PF-TOPSIS) method. exemplified illustrative bar chart visually endorses rationality interpreting compatible accurate final outcomes. Finally, holistically analyze functionality enlighten its merits prominence over other available competent approaches.