Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets

Fermatean fuzzy sets are more powerful than sets, intuitionistic and Pythagorean in handling various problems involving uncertainty. The distance measures the non-standard frameworks have got their applicability areas such as pattern analysis, clustering, medical diagnosis, etc. Also, knowledge played a vital role computing criteria weights multicriteria decision-making problems. As there is no study concerning of so this paper, we propose some novel for using t-conorms. We also discuss desirable properties. With help suggested measures, introduce sets. Through numerical comparison linguistic hedges, establish effectiveness respectively, over existing Pythagorean/Fermatean setting. At last, demonstrate application analyis decision-making.