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A Hybrid Intuitionistic Fuzzy-MEREC-RS-DNMA Method for Assessing the Alternative Fuel Vehicles with Sustainability Perspectives

Author

Listed:
  • Ibrahim M. Hezam

    (Statistics & Operations Research Department, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia)

  • Arunodaya Raj Mishra

    (Department of Mathematics, Government College Raigaon, Satna 485441, India)

  • Pratibha Rani

    (Department of Mathematics, Rajiv Gandhi National Institute of Youth Development, Sriperumbudur 602105, India)

  • Fausto Cavallaro

    (Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, Italy)

  • Abhijit Saha

    (Department of Mathematics, Techno College of Engineering Agartala, Agartala 799004, India)

  • Jabir Ali

    (Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, NCR Campus, Ghaziabad 201204, India)

  • Wadim Strielkowski

    (Department of Trade and Finance, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech Republic)

  • Dalia Štreimikienė

    (Institute of Social Sciences and Applied Informatics, Kaunas Faculty, Vilnius University, Muitines 8, 444280 Kaunas, Lithuania)

Abstract

Alternative fuel vehicles (AFVs) offer opportunities to lower fuel costs as well as to reduce greenhouse gas emissions, and, therefore, they are a feasible option for customers in the market. Due to technological advancements, decisions about suitable alternative fuel vehicles are a challenging problem for fleet operators. This paper aims to introduce a multi-attribute decision-analysis framework to rank and select the “alternative fuel vehicles (AFVs)” for a private home healthcare service provider in Chandigarh, India. The selection of AFVs can be treated as a decision-making problem, because of the presence of various qualitative and quantitative attributes. Thus, the current work introduces an integrated decision-making framework based on intuitionistic fuzzy-“method based on the removal effects of criteria (MEREC)”, “ranking sum (RS)”, and the “double normalization-based multi-aggregation (DNMA)” framework for assessing the AFVs. The combination of MEREC and RS is applied to assess the objective and subjective weighting values of various parameters for AFV assessment. The DNMA approach is utilized to prioritize the different AFVs over various significant parameters. According to the outcomes, the most significant parameters for AFV assessment are social benefits, fueling/charging infrastructure, and financial incentives, respectively. In this context, globally existing AFVs for the sustainable transportation sector are identified, and then prioritized against fifteen different criteria relevant to the environmental, economic, technological, social, and political aspects of sustainability. It is distinguished that electric vehicles ( G 2 ), hybrid electric vehicles ( G 1 ), and hydrogen vehicles ( G 3 ) achieve higher overall performance compared to the other technologies available in India. The assessment outcomes prove that electric vehicles can serve as a valuable alternative for decreasing carbon emissions and negative effects on the environment. This technology contributes to transportation sector development and job creation in less developed areas of the country. Moreover, a comparison with existing studies and a sensitivity investigation are conferred to reveal the robustness and stability of the developed framework.

Suggested Citation

  • Ibrahim M. Hezam & Arunodaya Raj Mishra & Pratibha Rani & Fausto Cavallaro & Abhijit Saha & Jabir Ali & Wadim Strielkowski & Dalia Štreimikienė, 2022. "A Hybrid Intuitionistic Fuzzy-MEREC-RS-DNMA Method for Assessing the Alternative Fuel Vehicles with Sustainability Perspectives," Sustainability, MDPI, vol. 14(9), pages 1-32, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5463-:d:807244
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    References listed on IDEAS

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    1. Liao, Huchang & Wu, Xingli, 2020. "DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making," Omega, Elsevier, vol. 94(C).
    2. Gai-Li Xu & Shu-Ping Wan & Xiao-Lan Xie, 2015. "A Selection Method Based on MAGDM with Interval-Valued Intuitionistic Fuzzy Sets," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, June.
    3. Bartolozzi, I. & Rizzi, F. & Frey, M., 2013. "Comparison between hydrogen and electric vehicles by life cycle assessment: A case study in Tuscany, Italy," Applied Energy, Elsevier, vol. 101(C), pages 103-111.
    4. Wu, Di & Aliprantis, Dionysios C., 2013. "Modeling light-duty plug-in electric vehicles for national energy and transportation planning," Energy Policy, Elsevier, vol. 63(C), pages 419-432.
    5. Dong-Shang Chang & Sheng-Hung Chen & Chia-Wei Hsu & Allen H. Hu & Gwo-Hshiung Tzeng, 2015. "Evaluation Framework for Alternative Fuel Vehicles: Sustainable Development Perspective," Sustainability, MDPI, vol. 7(9), pages 1-25, August.
    6. Tsita, Katerina G. & Pilavachi, Petros A., 2012. "Evaluation of alternative fuels for the Greek road transport sector using the analytic hierarchy process," Energy Policy, Elsevier, vol. 48(C), pages 677-686.
    7. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Total cost of ownership, payback, and consumer preference modeling of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 103(C), pages 488-506.
    8. Kazimi, Camilla, 1997. "Evaluating the Environmental Impact of Alternative-Fuel Vehicles," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 163-185, June.
    9. Dong Lin Loo & Yew Heng Teoh & Heoy Geok How & Jun Sheng Teh & Liviu Catalin Andrei & Slađana Starčević & Farooq Sher, 2021. "Applications Characteristics of Different Biodiesel Blends in Modern Vehicles Engines: A Review," Sustainability, MDPI, vol. 13(17), pages 1-31, August.
    10. Egnér, Filippa & Trosvik, Lina, 2018. "Electric vehicle adoption in Sweden and the impact of local policy instruments," Energy Policy, Elsevier, vol. 121(C), pages 584-596.
    11. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    12. Demeulenaere, Xavier, 2019. "The use of automotive fleets to support the diffusion of Alternative Fuel Vehicles: A Rapid Evidence Assessment of barriers and decision mechanisms," Research in Transportation Economics, Elsevier, vol. 76(C).
    13. Chiranjibe Jana & G. Muhiuddin & Madhumangal Pal & D. Al-Kadi, 2021. "Intuitionistic Fuzzy Dombi Hybrid Decision-Making Method and Their Applications to Enterprise Financial Performance Evaluation," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, July.
    14. Offer, G.J. & Howey, D. & Contestabile, M. & Clague, R. & Brandon, N.P., 2010. "Comparative analysis of battery electric, hydrogen fuel cell and hybrid vehicles in a future sustainable road transport system," Energy Policy, Elsevier, vol. 38(1), pages 24-29, January.
    15. Safaei Mohamadabadi, H. & Tichkowsky, G. & Kumar, A., 2009. "Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles," Energy, Elsevier, vol. 34(1), pages 112-125.
    16. Aritra Ghosh, 2020. "Possibilities and Challenges for the Inclusion of the Electric Vehicle (EV) to Reduce the Carbon Footprint in the Transport Sector: A Review," Energies, MDPI, vol. 13(10), pages 1-22, May.
    17. Tzeng, Gwo-Hshiung & Lin, Cheng-Wei & Opricovic, Serafim, 2005. "Multi-criteria analysis of alternative-fuel buses for public transportation," Energy Policy, Elsevier, vol. 33(11), pages 1373-1383, July.
    18. Krishnan, Venkat & Gonzalez-Marciaga, Lizbeth & McCalley, James, 2014. "A planning model to assess hydrogen as an alternative fuel for national light-duty vehicle portfolio," Energy, Elsevier, vol. 73(C), pages 943-957.
    19. Raymond Kene & Thomas Olwal & Barend J. van Wyk, 2021. "Sustainable Electric Vehicle Transportation," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    20. Murat Peksen, 2021. "Hydrogen Technology towards the Solution of Environment-Friendly New Energy Vehicles," Energies, MDPI, vol. 14(16), pages 1-6, August.
    21. Onat, Nuri C. & Noori, Mehdi & Kucukvar, Murat & Zhao, Yang & Tatari, Omer & Chester, Mikhail, 2017. "Exploring the suitability of electric vehicles in the United States," Energy, Elsevier, vol. 121(C), pages 631-642.
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    Cited by:

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    2. Arunodaya Raj Mishra & Dinesh Kumar Tripathi & Fausto Cavallaro & Pratibha Rani & Santosh K. Nigam & Abbas Mardani, 2022. "Assessment of Battery Energy Storage Systems Using the Intuitionistic Fuzzy Removal Effects of Criteria and the Measurement of Alternatives and Ranking Based on Compromise Solution Method," Energies, MDPI, vol. 15(20), pages 1-23, October.

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