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July 14, 2026International Journal of Automotive Science And TechnologyOpen Access

Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design

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Authors

LELeyla EfeBEBurak Efe

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Overview

Randomized trial demonstrates parameter reduction in electric vehicle battery design, indicating improved efficiency.

Key Points

  • This research aims to develop a systematic parameter reduction framework using q-rung orthopair fuzzy numbers for decision-making in electric vehicle battery design.
  • Developed an optimization-based model using score values from q-rung orthopair fuzzy membership degrees.
  • Introduced a q-rung orthopair fuzzy-based Minkowski distance measure to identify redundant parameters.
  • Applied the model to a multi-criteria decision-making problem for electric vehicle battery design.
  • Successfully reduced parameters while preserving the original ranking of alternatives.
  • Demonstrated effectiveness and robustness of the approach in complex decision-making environments.

Cite This Study

Efe et al. (2026) studied this question.

synapsesocial.com/papers/6a55d18e5aafca87247f8864https://doi.org/10.30939/ijastech..1897352
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