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Investigation of The Effect of Expert's Opinions on Multi-Criteria Decision Making Techniques in Electric Vehicle Selection

Abdulkerim Güler

European Transport / Trasporti Europei2024https://doi.org/10.48295/et.2024.99.3article
ABDC C
Weight
0.53

What the paper says

Today, humanity is at a crucial crossroads in the transition from traditional fossil fuels to renewable energy technologies, and electric vehicles (EV) are an important facet of this shift. Buying an EV is an important decision for people. Multi-Criteria Decision Making (MCDM) techniques are suitable for such complex decisions. In this study, 44 EV models available in Turkey were evaluated across 11 different criteria. AHP and SWARA methods were used by using expert opinions to weight the criteria. Using these weights, 16 models were created using three different MCDM. The results of the study were united by using the Copeland and Borda methods. Comparing the results, the effect of getting opinions from experts in different ways on the ranking was investigated. The study reveals the best EVs model when buying an EVs. The results are expected to help consumers choose the right EV and emphasise the importance of transport.

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https://doi.org/https://doi.org/10.48295/et.2024.99.3

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@article{abdulkerim2024,
  title        = {{Investigation of The Effect of Expert's Opinions on Multi-Criteria Decision Making Techniques in Electric Vehicle Selection}},
  author       = {Abdulkerim Güler},
  journal      = {European Transport / Trasporti Europei},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.48295/et.2024.99.3},
}

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.53 × 0.4 = 0.21
M · momentum0.63 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.