Journals / Kocaeli Journal of Science and Engineering / 2022 / Cilt: 5 - Sayı: ICOLES2021 Special Issue

Integrated Entropy-EDAS Methods for the Electrified Car Selection Problem

Pages
38–47
Publication Date
2022-11-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to these criteria, the electrified car manufactured in China was chosen as the best.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Increasing air pollution affects the environment and life negatively.
📊
Key Findings & Data:For a sustainable environment and life, people, voluntary organizations, and governments need to work on the solution of this problem.
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Conclusion & Impact:According to these criteria, the electrified car manufactured in China was chosen as the best.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Air Pollution · Decision Making · EDAS

Abstract

Increasing air pollution affects the environment and life negatively. For a sustainable environment and life, people, voluntary organizations, and governments need to work on the solution of this problem. The biggest sources of air pollution are transportation vehicles. For this reason, many countries in Europe have stated that they will use solely electrified cars to reduce air pollution in the future. Therefore, in this study, it is aimed to determine the best electrified car. The result obtained can support consumers that to intend to buy an electrified vehicle in the decision-making process. This problem is a typical multi-criteria decision making (MCDM) problem and some MCDM techniques are used to solve these problems. Here, the Entropy method was used to determine the weights of the selection criteria. Selection criteria was determined according to comprehensive literature survey and interviews with sales representatives. The EDAS (Evaluation based on Distance from Average Solution) method was used to rank the electrified car alternatives that sold in Turkey. As a result of the evaluation, the most important criteria was determined by the price of the vehicle, the net battery capacity, and the electric motor power. According to these criteria, the electrified car manufactured in China was chosen as the best.

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Cite This Article

BÜYÜKSELÇUK, E. Ç., TOZAN, H. (2022). Integrated Entropy-EDAS Methods for the Electrified Car Selection Problem. Kocaeli Journal of Science and Engineering, Cilt: 5 - Sayı: ICOLES2021 Special Issue, 38–47. https://ajindex.com/articles/861000

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References (14)

  1. Choudhary, M. P., Garg, V., 2013. Causes, Consequences and Control of Air Pollution, Conference: All India Seminar on Methodologies for Air Pollution Control, India
  2. Lozhkin, V., Lozhkina, O., Dobromirov, V., 2018. A Study of Air Pollution by Exhaust Gases from Cars in Well Courtyards of Saint Petersburg. Transportation Research Procedia, 36, pp. 453 – 458
  3. Efendi, A., Fahmi, A. R., 2021. Design and Build of Electric Car Frame SULA Evolution. Journal of Mechanical Engineering Education, 6(1), pp. 11 – 21
  4. Shammut, M., Cao, M., Zhang, Y., Papaix, C., Liu, Y., Gao, X., 2019. Banning Diesel Vehicles in London: Is 2040 Too Late?. Energies, 12(3495), pp. 1 – 17
  5. Xue, X. D., Cheng, K. W. E., Cheng, N. C., 2008. Selection of Electric Motor Drives for Electric Vehicles, Australasian Universities Power Engineering Conference, Australia, pp. 1 – 6
  6. Baghdadi, M. E., Vroey, L. D., Coosemans, T., Mierlo, J. V., Foubert, W., Jahn, R., 2013. Electric Vehicle Performance and Consumption Evaluation. World Electric Vehicle Journal, 6, pp. 30 – 37
  7. Laurikko, J., Granström, R., Haakana, A., 2012. Assessing Range and Performance of Electric Vehicles in Nordic Driving Conditions. World Electric Vehicle Journal, 5, 45 – 50
  8. Zou, Z., Yun, Y., Sun, J., 2006. Entropy Method for Determination of Weight of Evaluating Indicators in Fuzzy Synthetic Evaluation for Water Quality Assessment. Journal of Environmental Sciences, 18(5), pp. 1020 – 1023
  9. Özdağoğlu, A., Yakut, E., Bahar, S., 2017. Machine Selection in a Diary Product Company with Entropy and SAW Methods Integration. Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(1), pp. 341 – 359
  10. Chen, C. H., 2020. A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS. Entropy, 22(2), pp. 1 – 23
  11. Lahsini, L., 2017. Maut Yöntemi Kombinasyonunda Entropi Yöntemine Göre Ağırlıklandırma. Akademik Sosyal Araştırmalar Dergisi, 5(41), pp. 501 – 512
  12. Ömürbek, N., Karaatlı, M., Balcı, H. F., 2016. Entropi Temelli MAUT ve SAW Yöntemleri ile Otomotiv Firmalarının Performans Değerlemesi. Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 31(1), pp. 227 – 255
  13. Nyimbili, P. H., Erden, T., 2020. A Hybrid Approach Integrating Entropy-AHP and GIS for Suitability Assessment of Urban Emergency Facilities. International Journal of Geo-Information, 9(419), pp. 1 – 29
  14. Kenger, M. D., 2017. Ba