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March 2, 2026Beni-Suef University Journal of Basic and Applied SciencesOpen Access

Novel Q-Rung orthopair fuzzy correlation measure based on spearman’s correlation scheme with application in vehicle selection problem

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Authors

PEPaul Augustine EjegwaWDWanzenke Tidoo DanielNKNasreen Kausar

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Implication

Proposes a new correlation measure to improve vehicle selection in decision-making, suggesting enhanced performance."

Key Points

  • The aim is to develop a new q-rung orthopair fuzzy correlation measure that addresses the limitations of existing methods.
  • Developed a new correlation coefficient based on Spearman’s correlation scheme.
  • Analyzed mathematical properties to comply with correlation coefficient standards.
  • Integrated the method into a multi-attribute decision-making framework.
  • Applied the proposed method to a vehicle selection problem.
  • The new method showed high reliability and effectiveness compared to existing correlation measures.
  • Demonstrated superior performance in identifying the best vehicle alternative based on user satisfaction.
  • Proved more effective than traditional Pearson-based approaches.

Cite This Study

Ejegwa et al. (2026) studied this question.

synapsesocial.com/papers/69a52e45f1e85e5c73bf1dc3https://doi.org/10.1186/s43088-026-00737-y
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