On Renewable Energy Source Selection Methodologies Utilizing Picture Fuzzy Hypersoft Information with Choice and Value Matrices

In a decision-making problem, the uncertainty component of refusal and abstain along with sub-parametrization features in information are not catered by intuitionistic fuzzy/Pythagorean fuzzy sets. present communication, we first introduce novel notion picture hypersoft matrix various important binary operations properties. The inclusion matrices allows decision makers to define their preference more general sub-parameterized linguistic form for evaluation available alternatives. proposition concentrates on presenting robust framework identifying optimal most suitable renewable energy source. this regard, revised definition choice matrix/weighted (PFHSCM/PFHSWCM), value matrix, total score have been presented. Further, two algorithms selection best sources provided appropriate illustrations ranking descriptions. A numerical example has also worked out sake illustrating proposed algorithms. Finally, establishing robustness MCDM algorithms, necessary comparative analysis carried successfully.