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<p>Energy generation is crucial for human survival, and its efficiency directly impacts our quality of life. With dwindling fossil fuel reserves and increasing concerns about global warming, finding alternative energy sources is essential. Sustainable energy generation and distribution are critical research areas. In developing countries like ours, we are facing problems with fuel demand and greenhouse gas emissions. This study explores the selection of alternative fuels using spherical fuzzy multi-criteria decision-making methods. Specifically, we examine electricity (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\mathcal{A}\)</EquationSource> </InlineEquation><sub>1</sub>), propane (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\mathcal{A}\)</EquationSource> </InlineEquation><sub>2</sub>), biodiesel (<InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\mathcal{A}\)</EquationSource> </InlineEquation><sub>3</sub>), natural gas (<InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\mathcal{A}\)</EquationSource> </InlineEquation><sub>4</sub>), and ethanol (<InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\mathcal{A}\)</EquationSource> </InlineEquation><sub>5</sub>) as potential fuel sources. Choosing the right alternative fuel requires considering factors like quantity, quality of performance, environmental safety, fuel cost, CO<sub>2</sub> emission level, technical cost and efficiency. Ideally, chosen alternatives should improve aspects like engine performance, mileage and overall longevity while minimizing environmental impact which includes carbon dioxide production by vehicles. We employ the Spherical Fuzzy Complex Proportional Assessment (SF-COPRAS) technique to rank the fuel substitutes. Our primary goal is to identify the foremost option grounded on environmental wellbeing, CO<sub>2</sub> emissions, technical expenses, and fuel expenses. Ultimately, this research aims to select the most suitable alternative fuel by evaluating the relationships between these criteria and the potential options.</p>

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Novel Spherical Fuzzy Information Measure Using COPRAS Technique to Solve Multi-criteria Decision-Making Problem for Assortment of Best Alternate Fuel to Control Greenhouse Gas Effect

  • 期刊论文

  • 发表日期：

    2026年7月4日

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  • Abhishek Tiwari,
  • Divya Jain

摘要

Energy generation is crucial for human survival, and its efficiency directly impacts our quality of life. With dwindling fossil fuel reserves and increasing concerns about global warming, finding alternative energy sources is essential. Sustainable energy generation and distribution are critical research areas. In developing countries like ours, we are facing problems with fuel demand and greenhouse gas emissions. This study explores the selection of alternative fuels using spherical fuzzy multi-criteria decision-making methods. Specifically, we examine electricity ( \(\mathcal{A}\) 1), propane ( \(\mathcal{A}\) 2), biodiesel ( \(\mathcal{A}\) 3), natural gas ( \(\mathcal{A}\) 4), and ethanol ( \(\mathcal{A}\) 5) as potential fuel sources. Choosing the right alternative fuel requires considering factors like quantity, quality of performance, environmental safety, fuel cost, CO2 emission level, technical cost and efficiency. Ideally, chosen alternatives should improve aspects like engine performance, mileage and overall longevity while minimizing environmental impact which includes carbon dioxide production by vehicles. We employ the Spherical Fuzzy Complex Proportional Assessment (SF-COPRAS) technique to rank the fuel substitutes. Our primary goal is to identify the foremost option grounded on environmental wellbeing, CO2 emissions, technical expenses, and fuel expenses. Ultimately, this research aims to select the most suitable alternative fuel by evaluating the relationships between these criteria and the potential options.