Research Article

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

Volume: 10 Number: 2 July 12, 2026

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

Abstract

Multi-criteria decision-making problems involving a large number of parameters can lead to information overload. This study proposes a novel parameter reduction framework based on q-rung orthopair fuzzy (qROF) numbers to find the same ranking of alternatives using less parameters. The proposed approach combines two complementary approaches. First, an optimization-based model is developed using score values derived from qROF membership and non-membership degrees to identify the parameters considered without changing the alternative ranking. Second, a qROF-based Minkowski distance measure is introduced to detect redundant parameters based on a predefined threshold value. In current studies, the ranking of alternatives can be partially preserved or parameter reduction can be performed randomly. The proposed approach offers a systematic approach for parameter reduction presenting the same alternative ranking. The applicability of the model is demonstrated through an electric vehicle battery design problem involving multiple criteria and alternatives. The results highlight the effectiveness and robustness of the proposed integrated approach for complex decision-making environments. It successfully reduces the number of parameter while preserving the original ranking of alternatives. The integration of optimization-based and distance-based methods ensures a more clear and interpretable parameter reduction process. The proposed methodology can also be adapted to other multi-criteria decision-making problems involving uncertainty and a large number of criteria.

Keywords

References

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Details

Primary Language

English

Subjects

Hybrid and Electric Vehicles and Powertrains

Journal Section

Research Article

Publication Date

July 12, 2026

Submission Date

February 25, 2026

Acceptance Date

June 7, 2026

Published in Issue

Year 2026 Volume: 10 Number: 2

APA
Efe, L., & Efe, B. (2026). Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design. International Journal of Automotive Science And Technology, 10(2), 437-445. https://doi.org/10.30939/ijastech..1897352
AMA
1.Efe L, Efe B. Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design. IJASTECH. 2026;10(2):437-445. doi:10.30939/ijastech.1897352
Chicago
Efe, Leyla, and Burak Efe. 2026. “Optimization and Distance Based Parameter Reduction Under Q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design”. International Journal of Automotive Science And Technology 10 (2): 437-45. https://doi.org/10.30939/ijastech. 1897352.
EndNote
Efe L, Efe B (July 1, 2026) Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design. International Journal of Automotive Science And Technology 10 2 437–445.
IEEE
[1]L. Efe and B. Efe, “Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design”, IJASTECH, vol. 10, no. 2, pp. 437–445, July 2026, doi: 10.30939/ijastech..1897352.
ISNAD
Efe, Leyla - Efe, Burak. “Optimization and Distance Based Parameter Reduction Under Q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design”. International Journal of Automotive Science And Technology 10/2 (July 1, 2026): 437-445. https://doi.org/10.30939/ijastech. 1897352.
JAMA
1.Efe L, Efe B. Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design. IJASTECH. 2026;10:437–445.
MLA
Efe, Leyla, and Burak Efe. “Optimization and Distance Based Parameter Reduction Under Q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design”. International Journal of Automotive Science And Technology, vol. 10, no. 2, July 2026, pp. 437-45, doi:10.30939/ijastech. 1897352.
Vancouver
1.Leyla Efe, Burak Efe. Optimization and Distance based Parameter Reduction Under q Rung Orthopair Fuzzy Environment for Electric Vehicle Battery Design. IJASTECH. 2026 Jul. 1;10(2):437-45. doi:10.30939/ijastech. 1897352


International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey

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