Tahira Karamat, Mehwish Sarfraz
This applied research examines multiple-attribute decision-making issues that involve Pythagorean fuzzy (PyF) information. An advanced method for multiple-attribute decision-making, which employs arithmetic and geometric operations to create aggregation operators on Pythagorean fuzzy sets, is introduced. More detailed, Pythagorean prioritized fuzzy power Aczel-Alsina geometric and Pythagorean prioritized fuzzy power Aczel-Alsina averaging operators are proposed. Several associated properties of the novel prioritized aggregation operators are addressed. A multiple-attribute decision-making model is constructed based on the proposed prioritized aggregation operators. A numerical study demonstrates smart governance research applications of the developed aggregation operators. Finally, the significant advances of the developed prioritized aggregation operators are confirmed through comparison analyses.