Pythagorean Fuzzy Linguistic Power Generalized Maclaurin Symmetric Mean Operators and Their Application in Multiple Attribute Group Decision-Making

As an extension of Pythagorean fuzzy sets and linguistic term sets, (PFSs) are powerful to describe decision-making information quantificational qualitatively, which have received much scholars’ attention. The purpose this paper is propose a new multiple attribute group (MAGDM) approach with (PFL) information. To end, we firstly analyze the drawbacks existing operations PFL numbers operational rules based on scale function. power average (PA) operator famous for its capacity reducing negative influence unreasonable evaluation values provided by prejudiced decision makers results. generalized Maclaurin symmetric mean (GMSM) can not only capture interrelationship among inputs but also manipulate effect related properties adjusting parameters. When considering aggregation operators numbers, combine PA GMSM weighted operators. We study important special cases these continue investigate MAGDM problems novel method determine optimal alternative. Finally, conduct numerical examples demonstrate effectiveness our proposed method. attempt illustrate advantages superiorities via comparative analysis.