Abstract
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.






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Acknowledgements
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/461/44
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The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/461/44.
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Rahim, M., Ahmad, S., Younis, B.A. et al. Multiple attribute group decision making based on \(p,q\)-quasirung orthopair Bonferroni mean operators and their applications. Evolving Systems 16, 9 (2025). https://doi.org/10.1007/s12530-024-09638-w
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DOI: https://doi.org/10.1007/s12530-024-09638-w