Multicriteria q-Rung orthopair fuzzy decision analysis: a novel approach based on Archimedean aggregation operators with the confidence levels

The confidence levels can reduce the influence of unreasonable evaluation value that was given by decision-maker on decision-making results. Archimedean t-norm and t-conorm (ATS) also have many advantages for processing uncertain data. Under this environment, q-rung orthopair fuzzy aggregation operator based ATS is one most successful extensions numbers in which we decrease deviation caused subjective perspective multicriteria group problems. In paper, propose weighted, ordered weighted averaging operators geometric ATS, respectively. Moreover, properties four specific forms associated with are investigated. study, a novel MCGDM approach introduced using proposed operator. A reasonable example compared results obtained our existing literature, so as to verify rationality flexible method. From concluded method impact extreme data, make more considering attitudes decision-makers.