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September 24, 2025Contemporary MathematicsOpen Access

An Enhance Vehicle Selection Problem for an Effective Transportation System: A Logarithmic-Based Distance Measure Approaches via q-Rung Orthopair Fuzzy Information

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Authors

MAManasseh Terna AnumNKNasreen KausarPEPaul Augustine Ejegwa

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Overview

This research presents novel q-rung orthopair fuzzy metrics enhancing vehicle selection, indicating improved accuracy and stability.

Key Points

  • The study demonstrates improved accuracy in solving the vehicle selection problem using new distance measures.
  • Novel logarithmic-based distance metrics are integrated with TOPSIS, enhancing decision-making in complex scenarios.
  • Comparative analysis shows that the proposed methods outperform existing measures in ranking vehicle alternatives.
  • A case study with seven vehicle brands highlights the practical application and robustness of these measures under uncertainty.

Cite This Study

Anum et al. (2025) studied this question.

synapsesocial.com/papers/68d6d8768b2b6861e4c3ea59https://doi.org/10.37256/cm.6520257879
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