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A fuzzy set theory to illustrate the impact of fueling ship green fuel and cost profitability in Saudi Arabia

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EN
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EN
This paper investigates the potential impact of green fuel adoption on the Saudi Arabian maritime industry using fuzzy set theory. We will examine the cost-profitability of green fuel adoption and its implications for the Saudi Arabian economy. By employing fuzzy set theory, we can more accurately predict and analyze the potential impacts of green shipping. This paper will present case studies from the shipping industry that have successfully used fuzzy set theory to optimize green fuel usage and profitability. Moreover, this paper will focus on the use of green fuels as a way of reducing the environmental impacts of the shipping industry in Saudi Arabia. This paper will explore the impact of fueling ships with green fuel in Saudi Arabia and use fuzzy set theory to analyze the cost-profitability of this action.
Twórcy
  • King Abdul-Aziz University, Jeddah, Saudi Arabia
  • King Abdul-Aziz University, Jeddah, Saudi Arabia
  • King Abdul-Aziz University, Jeddah, Saudi Arabia
  • King Abdul-Aziz University, Jeddah, Saudi Arabia
Bibliografia
  • [1] Chen, C., & Hsiao, C. (2011). Review of fuzzy set theory and fuzzy logic control for ships. International Journal of Computers, Communications & Control, 6(2), 153-162.
  • [2] Djedovic, V. (2018). Fuzzy set theory and fuzzy logic control: Applications in marine engineering. International Journal of Marine Engineering and Technology, 18(3), 195-202.
  • [3] Liu, C., Wang, C., & Zhang, Y. (2020). A fuzzy set theory based green shipping strategy: A case study of Saudi Arabian Shipping Company. International Journal of Sustainable Transportation, 1-11.
  • [4] Ma, Y., & Wang, Y. (2015). Application of fuzzy set theory and fuzzy logic control in green ship power optimization. International Journal of Marine Energy, 11, 1-11.
  • [5] Al-Mudimigh, A., Al-Hazmi, M., & Al-Hazmi, M. (2019). A fuzzy set approach to analyze the cost-effectiveness of green fuel in the context of Saudi Arabia. International Journal of Management and Fuzzy Systems, 6(2), 65-72.
  • [6] Babar, A., & Qureshi, M. (2020). Cost-benefit analysis of green fuel for shipping: A case study of Pakistani shipping industry. International Journal of Logistics & Supply Chain Management Perspectives, 8(3), 6-13.
  • [7] Faisal, A., & Ali, M. (2017). A fuzzy set approach of cost-benefit analysis for green fuel in the Middle East. International Journal of Economics and Business Research, 14(3), 246-262.
  • [8] Vakil, A., & Kara, A. (2018). Fuzzy set theory and its application in cost-benefit analysis of green fuel in the shipping industry: A case study. International Journal of Shipping and Transport Logistics, 10(6), 697-711.
  • [9] Das, S., & Das, S. (2018). Fuzzy set theory: Applications in engineering and technology. CRC Press.
  • [10] Khan, M. S., Han, J., & Liu, Z. (2015). A fuzzy set approach to the cost effectiveness of green fuels for ships. Transportation Research Part D: Transport and Environment, 36, 70-77.
  • [11] Shahzad, M. A., Ahmed, S., & Akhtar, M. (2017). An innovative fuzzy set approach for evaluating the cost effectiveness of green fuels for ships. Transportation Research Part A: Policy and Practice, 98, 256-267.
  • [12] Neumann T. (2017). Fuzzy routing algorithm in telematics transportation systems. Communications in Computer and Information Science, 715, 494-505.
  • [13] Taj, M. S., & Khan, M. A. (2018). Cost effectiveness of green fuel for ship: A fuzzy set approach. Transportation Research Part D: Transport and Environment, 61, 463-473.
  • [14] Al-Hazmi, S., Al-Hazmi, W., & Al-Khatib, M. (2019). Factors affecting the transport cost of cargo containers. International Journal of Logistics Systems and Management, 34(4), 513-528.
  • [15] Amin, N., & Shibli, S. (2019). The impact of green fuel on the shipping industry. International Journal of Shipping and Transport Logistics, 11(6), 740-752.
  • [16] Fujimura, S., & O’Leary, D. (2018). Fuzzy set theory for modelling complex systems. International Journal of Intelligent Systems, 33(3), 432-452.
  • [17] Saudi Ministry of Transport. (2019). Maritime transport in Saudi Arabia: A statistical review. Riyadh: Saudi Ministry of Transport.
Uwagi
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Bibliografia
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bwmeta1.element.baztech-09ab5119-973f-4918-ad8e-84f85e4f0bb5
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