International Journal of Advances in Applied Computational Intelligence IJAACI 2833-5600 10.54216/IJAACI https://www.americaspg.com/journals/show/2972 2022 2022 University of Debrecen, Department of Mathematical and Computational Science, Debrecen, Hungary Warshine Warshine Faculty Of Science, Beirut Arab University, Beirut, Lebanon Josef Al Jumayel This study presents a comprehensive evaluation of natural gas automobiles, focusing on their performance, environmental impact, economic viability, and potential as an alternative fuel for transportation. Natural gas vehicles (NGVs) have gained attention as an alternative to conventional gasoline or diesel vehicles due to their lower emissions profile and potential for reducing greenhouse gas emissions. The assessment encompasses a comparative analysis of NGVs against traditional internal combustion engine vehicles, evaluating factors such as vehicle efficiency, fuel availability, infrastructure, emissions, and cost-effectiveness. Findings reveal that NGVs exhibit lower emissions of pollutants like nitrogen oxides and particulate matter than their gasoline or diesel counterparts. However, challenges persist regarding limited refueling infrastructure, reduced driving range, and upfront vehicle conversion or purchase costs. Economic evaluations highlight the potential cost savings associated with natural gas as a fuel, particularly in regions with favorable pricing and infrastructure. Despite these benefits, scalability and widespread adoption of NGVs face barriers related to infrastructure development, technological advancements, and market incentives. This evaluation provides insights into the opportunities and challenges of natural gas automobiles, emphasizing the need for a balanced approach encompassing technological innovation, infrastructure investment, and supportive policies to unlock their full potential as a viable alternative in the transportation sector. We used multi-criteria decision-making (MCDM) to deal with various criteria of natural gas automobiles. The Range of Value Technique (ROV) method ranks the alternatives. The ROV is integrated with the neutrosophic set to deal with uncertainty information. The neutrosophic set is extension of fuzzy set to overcome the vague and incomplete information.  The sensitivity analysis is conducted to check the stability of the results.   2024 2024 15 28 10.54216/IJAACI.050102 https://www.americaspg.com/articleinfo/31/show/2972