Multiattribute decision-making under Fermatean fuzzy bipolar soft framework

Fermatean fuzzy set theory is emerging as a novel mathematical tool to handle uncertainties in different domains of real world. sets were presented order that uncertain information from quite general real-world decision-making situations could be mathematically tractable. To purpose, these are more flexible and reliable than intuitionistic Pythagorean sets. This paper presents hybrid model, namely, the bipolar soft (FFBSS, short) model extension two powerful existing models, is, models. Some fundamental properties proposed FFBSS subset-hood, equal FFBSSs, relative null absolute restricted intersection union, extended AND operation OR investigated along with numerical examples. In addition, certain basic operations, including weighted average score function FFBSSs proposed. Furthermore, applications explored deal multiattribute situations, selection best surgeon robot analysis most affected country due COVID-19 (‘CO’ stands for corona, ‘VI’ virus, ‘D’ disease, ‘19’ its year emergence, 2019). The methodology supported by an algorithm. At end, comparison some provided.