ISSN (Online): 2812-9709
Vol.4, No.2, 2025: pp.92-103
Application of new method evaluation by distance from ideal solution of alternatives in the assessment of electric vehicles
Authors:
1Government of Brčko District of Bosnia and Herzegovina, Brčko, Bosnia and Herzegovina
2University of Zadar, Zadar, Croatia
3American University in the Emirates, Dubai, UAE
Received: 27 March 2025
Revised: 10 June 2025
Accepted: 26 June 2025
Published: 30 June 2025
Abstract:
The objective of this study was to provide decision-making assistance in selecting electric vehicles (EVs). The multi-criteria decision-making methods (MCDM), criteria importance through inter-criteria correlation (CRITIC) and evaluation by distance from ideal solution of alternatives (EDISA), along with the technical specifications of EVs, were employed to facilitate the decision on purchasing an EV. A total of 14 minivans were analysed based on 10 criteria. The findings from the CRITIC method indicated that the most significant criteria are battery charging and vehicle consumption. The EDISA method indicated that EV11 exhibited the best characteristics and represented a prudent purchase decision. Nevertheless, the ultimate decision must consider additional factors beyond just the technical specifications, as numerous elements affect the final choice, necessitating an examination of other attributes of the EV.
Keywords:
EDISA method, Electric vehicles, Technical characteristics, CRITIC method
References:
[1] W. Ge, L. Deng, F. Wang, J. Han, Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016. Science of the Total Environment, 2021:773, 145648.
https://doi.org/10.1016/j.scitotenv.2021.145648
[2] M. Javaid, A. Haleem, R.P. Singh, A.K. Sinha, Digital economy to improve the culture of industry 4.0: A study on features, implementation and challenges. Green Technologies and Sustainability, 2(2), 2024: 100083.
https://doi.org/10.1016/j.grets.2024.100083
[3] M. Journeault, A. Perron, L. Vallières, The collaborative roles of stakeholders in supporting the adoption of sustainability in SMEs. Journal of Environmental Management, 287, 2021: 112349. https://doi.org/10.1016/j.jenvman.2021.112349
[4] L. Srdelić, Transition Risks of Climate Change: An Analysis of Greenhouse Gas Emissions in Croatia and the Euro Area. Oeconomica Jadertina, 14(1), 2024:74-90. https://doi.org/10.15291/oec.4433
[5] F. Xu, F. Cui, N. Xiang, Roadmap of green transformation for a steel-manufacturing intensive city in China driven by air pollution control. Journal of Cleaner Production, 283, 2021: 124643. https://doi.org/10.1016/j.jclepro.2020.124643
[6] A. Nurgaliuly, S. Smagulova, Economic Assessment of Energy Security of the Regions of Kazakhstan. Economics-Innovative and Economics Research Journal, 13(2), 2025:223–243. https://doi.org/10.2478/eoik-2025-0038
[7] S.S. Grzesiak, A. Sulich, Electromobility: Logistics and Business Ecosystem Perspectives Review. Energies, 16(21), 2023: 7249. https://doi.org/10.3390/en16217249
[8] J. Pinos, J. N. Hahladakis, H. Chen, Why is the generation of packaging waste from express deliveries a major problem? Science of the Total Environment, 830, 2022: 154759. https://doi.org/10.1016/j.scitotenv.2022.154759
[9] I. Nikolić, J. Milutinović, D. Božanić, M. Dobrodolac, Using an Interval Type-2 Fuzzy AROMAN Decision-Making Method to Improve the Sustainability of the Postal Network in Rural Areas. Mathematics, 11(14), 2023: 3105.
https://doi.org/10.3390/math11143105
[10] A.J.M. Muzahid, S.F. Kamarulzaman, M.A. Rahman, S.A. Murad, M.A.S. Kamal, A.H. Alenezi, Multiple vehicle cooperation and collision avoidance in automated vehicles: survey and an AI-enabled conceptual framework. Scientific Reports, 13(1), 2023: 603. https://doi.org/10.1038/s41598-022-27026-9
[11] D. Tadić, J. Lukić, N. Komatina, D. Marinković, D. Pamučar, A Fuzzy Decision-Making Approach to Electric Vehicle Evaluation and Ranking. Tehnički Vjesnik, 32(3), 1066-1075, 2025. https://doi.org/10.17559/TV-20250223002410
[12] S. Aggarwal A.K. Singh, Electric vehicles the future of transportation sector: a review. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 47(1), 2025:11126–11146. https://doi.org/10.1080/15567036.2021.1976322
[13] M. Idris, I. Garniwa, T.E.B. Soesilo, S.W. Utomo, M. Z. Asyari, Environmental impacts of internal combustion engine vs electric vehicle: Life-cycle assessment review. International Journal of Technology, 16(3), 2025: 882-913.
https://doi.org/10.14716/ijtech.v16i3.7347
[14] A. Alkhalidi, R. Almahmood, H. Malkawi, R.S. Amano, What are the barriers that prevent its adoption? Case study of battery electric vehicles. International Journal of Energy for a Clean Environment, 22(1), 2021: 1–14.
https://doi.org/10.1615/InterJEnerCleanEnv.2020035391
[15] D.D. Trung, B. Dudić, N.C. Bao, H. Xuan Thinh, D. Van Duc, A. Ašonja, Applying probability method for battery electric vehicle selection. 2025 24th International Symposium INFOTEH- JAHORINA (INFOTEH), 19-21 March 2025, East Sarajevo, Bosnia and Herzegovina, pp.1–5. https://doi.org/10.1109/INFOTEH64129.2025.10959268
[16] X.X. Han, Z.B. Lin, K.Q. Kang, X.P. Zhu, Control of DMC-Based LLC Resonant Converters. Journal of Intelligent Systems and Control, 2(4), 2023: 209-219. https://doi.org/10.56578/jisc020403
[17] F. Oudjama, A. Boumediene, K. Saidi, D. Boubekeur, Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approach. Journal of Intelligent Systems and Control, 2(3), 2023: 170-182.
https://doi.org/10.56578/jisc020305
[18] N. Petrović, S. Marković, B. Nikolić, V. Jovanović, M. Petrović, Evaluating Alternative Propulsion Systems for Urban Public Transport in Niš: A Multicriteria Decision-Making Approach. Journal of Engineering Management and Systems Engineering, 3(2), 2024: 72-81. https://doi.org/10.56578/jemse030202
[19] S.D. Prasetyo, A.N. Rizandy, A.R. Birawa, F.J. Regannanta, Z. Arifin, M.S. Mauludin, Sukarman, Design and Economic Analysis of a Solar-Powered Charging Station for Personal Electric Vehicles in Indonesia. Journal of Sustainability for Energy, 3(2), 2024: 65-74. https://doi.org/10.56578/jse030201
[20] E. Marrasso, C. Martone, G. Pallotta, C. Roselli, M. Sasso, Towards the Implementation o Renewable Energy Communities in Various Application Fields in Italy. Journal of Sustainability for Energy, 3(4), 2024: 265-277.
https://doi.org/10.56578/jse030405
[21] H.K. Channi, Optimizing Electric Vehicle Charging Infrastructure: A Site Selection Strategy for Ludhiana, India. Mechatronics and Intelligent Transportation Systems, 3(3), 2024: 179-189. https://doi.org/10.56578/mits030304
[22] J. Więckowski, B. Kizielewicz, A. Shekhovtsov, W. Sałabun, RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments. Engineering Applications of Artificial Intelligence, 122, 2023: 106114.
https://doi.org/10.1016/j.engappai.2023.106114
[23] Ž. Stević, M. Baydaş, M. Kavacık, E. Ayhan, D. Marinković, Selection of data conversion technique via sensitivity-performance matching: Ranking of small e-vans with probid method. Facta Universitatis Series Mechanical Engineering, 22(4), 2024: 643-647. https://doi.org/10.22190/fume240305023s
[24] D.D. Trung, B. Dudic, N.-T. Nguyen, A. Ašonja, Data normalization for root assessment methodology. International Journal of Industrial Engineering and Management, 15(2), 2024: 156–168. https://doi.org/10.24867/ijiem-2024-2-354
[25] V. Sharma, K. Sharma, M. Kumar, P. Chatterjee, Supply chain efficiency and performance measurement in the automotive sector: Content analysis and future research directions. Journal of Decision Analytics and Intelligent Computing, 4(1), 2024: 121–135. https://doi.org/10.31181/jdaic10021092024s
[26] D. Diakoulaki, G. Mavrotas, L. Papayannakis, Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 1995: 763–770. https://doi.org/10.1016/0305-0548(94)00059-h
[27] A.R. Krishnan, M.M. Kasim, R. Hamid, M.F. Ghazali, A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria. Symmetry, 13(6), 2021: 973. https://doi.org/10.3390/sym13060973
[28] S. R. L. 3d0, “EV Test,” Evtest.eu. [Online]. Available: https://evtest.eu (Accessed: 26 March 2025)
[29] steps2next, “MyEVreview,” Myevreview.com. [Online]. Available: https://www.myevreview.com (Accessed: 26 March 2025)
[30] E.V. Test, “Test EV,” Test EV. [Online]. Available: https://testev.co/ (Accessed: 26 March 2025)
[31] S.K. Sahoo, B.B. Choudhury, P.R. Dhal, Exploring the Role of Robotics in Maritime Technology: Innovations, Challenges, and Future Prospects. Spectrum of Mechanical Engineering and Operational Research, 1(1), 2024: 159-176.
https://doi.org/10.31181/smeor11202414
[32] D.D. Trung, B. Dudić, D.V. Duc, N.H. Son, A. Ašonja, Comparison of MCDM methods effectiveness in the selection of plastic injection molding machines. Teknomekanik, 7(1), 2024:1–19. https://doi.org/10.24036/teknomekanik.v7i1.29272
[33] P. Verma, A. Dumka, A. Bhardwaj, A. Ashok, M. C. Kestwal, P. Kumar, A statistical analysis of impact of COVID19 on the global economy and stock index returns. SN Computer Science, 2(1), 2021: 27. https://doi.org/10.1007/s42979-020-00410-w
[34] W. Sałabun, A. Shekhovtsov, D. Pamučar, J. Wątróbski, B. Kizielewicz, J. Więckowski, D. Bozanić, K. Urbaniak, B. Nyczaj, A Fuzzy Inference System for Players Evaluation in Multi-Player Sports: The Football Study Case. Symmetry, 12(12), 2020: 2029. https://doi.org/10.3390/sym12122029
[35] R.M. Zulqarnain, I. Siddique, R. Ali, D. Pamucar, D. Marinkovic, D. Božanic, Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set With Their Application to Solve MCDM Problem. Entropy, 23(6), 2021: 688.
https://doi.org/10.3390/e23060688
[36] D.D. Trung, A. Ašonja, D.V. Duc, N.T. Nga, Electrode selection for wire-cut electrical discharge machining process. Lecture Notes in Networks and Systems, 2024: 221–230. https://doi.org/10.1007/978-3-031-66268-3_20
[37] S. Ayub, M. Shabir, M. Riaz, M. Waqus, D. Bozanic, D. Marinkovic, Linear Diophantine Fuzzy Rough Sets: A New Rough Set Approach with Decision Making. Symmetry, 14(3), 2022: 525. https://doi.org/10.3390/sym14030525
[38] A.R. Mishra, P. Rani, Evaluating and Prioritizing Blockchain Networks using Intuitionistic Fuzzy Multi-Criteria Decision-Making Method. Spectrum of Mechanical Engineering and Operational Research, 2(1), 2025, 78-92.
https://doi.org/10.31181/smeor21202527
© 2025 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
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How to Cite
A. Puška, J. Bosna, I. Stojanović, Application of New Method Evaluation by Distance From Ideal Solution of Alternatives in the Assessment of Electric Vehicles. Advanced Engineering Letters, 4(2), 2025: 92-103.
https://doi.org/10.46793/adeletters.2025.4.2.5
More Citation Formats
Puška, A., Bosna, J. Stojanović, I. (2025). Application of New Method Evaluation by Distance From Ideal Solution of Alternatives in the Assessment of Electric Vehicles. Advanced Engineering Letters, 4(2), 92-103.
https://doi.org/10.46793/adeletters.2025.4.2.5
Puška, Adis, et al. “Application of New Method Evaluation by Distance From Ideal Solution of Alternatives in the Assessment of Electric Vehicles.“ Advanced Engineering Letters, vol. 4, no. 2, 2025, pp. 92-103.
https://doi.org/10.46793/adeletters.2025.4.2.5
Puška, Adis, Jurica Bosna, Ilija Stojanović. 2025. “Application of New Method Evaluation by Distance From Ideal Solution of Alternatives in the Assessment of Electric Vehicles.“ Advanced Engineering Letters, 4 (2): 92-103.
https://doi.org/10.46793/adeletters.2025.4.2.5
Puška, A., Bosna, J. Stojanović, I. (2025). Application of New Method Evaluation by Distance From Ideal Solution of Alternatives in the Assessment of Electric Vehicles. Advanced Engineering Letters, 4(2), pp. 92-103.
doi: 10.46793/adeletters.2025.4.2.5.
