2692-2967ISSN (Online)
2770-0216ISSN (Print)
Volume 10 , Issue 2 , PP: 23-31, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Myvizhi M. 1 * , Samah I. Abdel Aal 2
Doi: https://doi.org/10.54216/AJBOR.100203
In the current time, global warming has compelled the automotive vehicle tech sector to undertake a paradigm shift from internal combustion engines that are fueled by fossil fuels to electrical motors that are used for traction instead. It has become an important problem to evaluate BEV options in a thorough manner from the perspective of the consumer because of the recent fast expansion that the BEV industry has seen. This evaluation may be carried out by looking at the fundamental characteristics of every BEV. In addition, effective tools for making the correct choice on the purchase of a BEV are those that use multiple criteria decision making (MCDM). The selection process of BEVs involves vague and uncertainty problem, so that, this work aims to introduce a new multi-criteria decision-making model based on the neutrosophic sets and TOPSIS method to overcome this problem. The results concluded that the proposed model could handle unclear information and uncertainty which exist usually in the sekection process and present an effective model to rank and select best BEVs.
Neutrosophic Sets , MCDM , Battery Electric Vehicles , TOPSIS method ,
[1] M. Safari, “Battery electric vehicles: Looking behind to move forward,” Energy Policy, vol. 115, pp. 54–65, 2018.
[2] A. Hoekstra, “The underestimated potential of battery electric vehicles to reduce emissions,” Joule, vol. 3, no. 6, pp. 1412–1414, 2019.
[3] C. E. Thomas, “Fuel cell and battery electric vehicles compared,” international journal of hydrogen energy, vol. 34, no. 15, pp. 6005–6020, 2009.
[4] H. Ma, F. Balthasar, N. Tait, X. Riera-Palou, and A. Harrison, “A new comparison between the life cycle greenhouse gas emissions of battery electric vehicles and internal combustion vehicles,” Energy policy, vol. 44, pp. 160–173, 2012.
[5] M. U. Cuma and T. Koroglu, “A comprehensive review on estimation strategies used in hybrid and battery electric vehicles,” Renewable and Sustainable Energy Reviews, vol. 42, pp. 517–531, 2015.
[6] A. König, L. Nicoletti, D. Schröder, S. Wolff, A. Waclaw, and M. Lienkamp, “An overview of parameter and cost for battery electric vehicles,” World Electric Vehicle Journal, vol. 12, no. 1, p. 21, 2021.
[7] S. Eaves and J. Eaves, “A cost comparison of fuel-cell and battery electric vehicles,” Journal of Power Sources, vol. 130, no. 1–2, pp. 208–212, 2004.
[8] B. Frieske, M. Kloetzke, and F. Mauser, “Trends in vehicle concept and key technology development for hybrid and battery electric vehicles,” in 2013 world electric vehicle symposium and exhibition (EVS27), 2013, pp. 1–12.
[9] F. Ecer, “A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies,” Renewable and Sustainable Energy Reviews, vol. 143, p. 110916, 2021.
[10] M. K. Loganathan, B. Mishra, C. M. Tan, T. Kongsvik, and R. N. Rai, “Multi-Criteria decision making (MCDM) for the selection of Li-Ion batteries used in electric vehicles (EVs),” Materials Today: Proceedings, vol. 41, pp. 1073–1077, 2021.
[11] A. Ghosh et al., “Application of hexagonal fuzzy MCDM methodology for site selection of electric vehicle charging station,” Mathematics, vol. 9, no. 4, p. 393, 2021.
[12] B. Ashok et al., “Transition to Electric Mobility in India: Barriers Exploration and Pathways to Powertrain Shift through MCDM Approach,” Journal of The Institution of Engineers (India): Series C, vol. 103, no. 5, pp. 1251–1277, 2022.
[13] M. K. Loganathan, C. M. Tan, B. Mishra, T. A. M. Msagati, and L. W. Snyman, “Review and selection of advanced battery technologies for post 2020 era electric vehicles,” in 2019 IEEE Transportation Electrification Conference (ITEC-India), 2019, pp. 1–5.
[14] R. Wang, X. Li, C. Xu, and F. Li, “Study on location decision framework of electric vehicle battery swapping station: Using a hybrid MCDM method,” Sustainable Cities and Society, vol. 61, p. 102149, 2020.
[15] X. Ren, S. Sun, and R. Yuan, “A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model,” Mathematical Problems in Engineering, vol. 2021, pp. 1–23, 2021.
[16] M. Abdel-Basset, M. Mohamed, A. Abdel-Monem, and M. A. Elfattah, “New extension of ordinal priority approach for multiple attribute decision-making problems: design and analysis,” Complex & Intelligent Systems, vol. 8, no. 6, pp. 4955–4970, 2022.
[17] N. A. Nabeeh et al., “A Comparative Analysis for a Novel Hybrid Methodology using Neutrosophic theory with MCDM for Manufacture Selection,” in 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022, pp. 1–8.
[18] N. A. Nabeeh, A. Abdel-Monem, and A. Abdelmouty, “A novel methodology for assessment of hospital service according to BWM, MABAC, PROMETHEE II,” Neutrosophic Sets and Systems, vol. 31, pp. 63–79, 2020.
[19] S. Nădăban and S. Dzitac, “Neutrosophic TOPSIS: a general view,” in 2016 6th International Conference on Computers Communications and Control (ICCCC), 2016, pp. 250–253.
[20] N. A. Nabeeh et al., “A Neutrosophic Evaluation Model for Blockchain Technology in Supply Chain Management,” in 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022, pp. 1–8.
[21] M. Abdel-Basset, A. Gamal, N. Moustafa, A. Abdel-Monem, and N. El-Saber, “A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles,” IEEE Access, 2021.
[22] P. Biswas, S. Pramanik, and B. C. Giri, “Neutrosophic TOPSIS with group decision making,” in fuzzy multi-criteria decision-making using neutrosophic sets, Springer, 2019, pp. 543–585.
[23] A. Abdel-Monem, A. A. Gawad, and H. Rashad, Blockchain Risk Evaluation on Enterprise Systems using an Intelligent MCDM based model, vol. 38. Infinite Study, 2020.
[24] P. Biswas, S. Pramanik, and B. C. Giri, “NonLinear programming approach for single-valued neutrosophic TOPSIS method,” New Mathematics and Natural Computation, vol. 15, no. 02, pp. 307–326, 2019.
[25] N. A. Nabeeh, A. Abdel-Monem, and A. Abdelmouty, A hybrid approach of neutrosophic with multimoora in application of personnel selection. Infinite Study, 2019.
[26] M. Abdel-Basset, G. Manogaran, A. Gamal, and F. Smarandache, “A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection,” Journal of medical systems, vol. 43, no. 2, pp. 1–13, 2019.
[27] A. Abdel-Monem and A. A. Gawad, “A hybrid Model Using MCDM Methods and Bipolar Neutrosophic Sets for Select Optimal Wind Turbine: Case Study in Egypt,” Neutrosophic Sets and Systems, vol. 42, pp. 1–27, 2021.
[28] R. K. Chakrabortty, M. Abdel-Basset, and A. M. Ali, “A multi-criteria decision analysis model for selecting an optimum customer service chatbot under uncertainty,” Decision Analytics Journal, p. 100168, 2023.
