August 7, 2025Scientific ReportsOpen Access

Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection

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Authors

SKSalma KhanAbdul Wali Khan University Mardan HAHamza A. S. AbujabalKing Abdulaziz University MRMuhammad RahimHazara University

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Implication

This research develops quasirung orthopair fuzzy aggregation operators for improved decision-making accuracy in multi-attribute group decision-making contexts, highlighting decision stability.

Key Points

Novel quasirung orthopair fuzzy aggregation operators improve decision-making accuracy by about 7.5% in complex environments.
An entropy-based approach identifies attribute weights, minimizing subjectivity in multi-attribute group decision-making.
The proposed operators are flexible and robust, allowing independent tuning of membership and non-membership parameters.
Sensitivity analysis confirms the reliability of the operators, making them adaptable to varying input conditions.

Cite This Study

Khan et al. (2025) studied this question.

synapsesocial.com/papers/689dfe88d61984b91e13b8cc https://doi.org/10.1038/s41598-025-12354-3

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Implication

This research develops quasirung orthopair fuzzy aggregation operators for improved decision-making accuracy in multi-attribute group decision-making contexts, highlighting decision stability.

Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection

Discussion

Member takes

Implication

Key Points

Cite This Study

Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection

Discussion

Member takes

Implication

Key Points

Cite This Study

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