The Bonferroni mean (BM) operator provides a strategy for justifying the effects of unrealistic aggregation values while simultaneously capturing the interconnections between input arguments. Moreover, \(p,q\) -quasirung orthopair fuzzy ( \(p,q-\) -QOF) sets is a new development in fuzzy set (FS) theory that allows for more accurate and nuanced management and representation of uncertain data. In this paper, we integrate the concept of \(p,q\) -QOF numbers ( \(p,q\) -QOFNs) and extend the BM operators to accommodate \(p,q\) -QOF information. To aggregate diverse preferences of decision-makers, we first present some Bonferroni mean and weighted Bonferroni mean averaging operators for \(p,q\) -QOFNs. Subsequently, we construct a decision-making (DM) framework utilizing the proposed operators within the context of \(p,q\) -QOF sittings, demonstrated through a numerical illustration. Finally, we compare the presented approach with existing methods to establish the practicality and feasibility of the proposed DM process.
