Clean energy solutions are essential for addressing the most prevalent global challenges, including energy security, environmental degradation, and climate change. Utilizing metallic bipolar plates (MBPs) in polymer electrolyte fuel cells (PEFCs) proves necessary for sustainable green energy generation. However, the selection process becomes a complex and uncertain decision-making process due to the linguistic criteria used to describe the quality of MBPs. This chapter introduces an uncertain multi-criteria decision-making (MCDM) method to address this issue in a Pythagorean fuzzy context. The robust fuzzy extension Pythagorean fuzzy sets quantify the conflicting nature of the factors in MBPs, allowing for the incorporation of varying degrees of human ambiguity. The quality of the MBPs is analyzed using the Pythagorean extension of the combined compromise solution (PF-CoCoSo) approach. This study employed the rank-sum approach to ascertain the importance of the standards criteria to mitigate the decision expert’s subjectivity. The proposed technique indicates that molybdenum is the optimal material for MBPs, whereas aluminium, nickel, and copper are the least suitable options.