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Measuring the sustainability of marine fuels: A fuzzy group multi-criteria decision making approach

handle: 10397/104312
Abstract The use of alternative energy sources instead of HFO has been recognized as a promising way for reducing emissions from shipping and promoting the development of green shipping. However, it is usually difficult for the decision-making to select the best choice among multiple alternative marine fuels. In order to address this, a complete criteria system for sustainability assessment of alternative marine fuels was firstly established, and a fuzzy group multi-criteria decision making method has been developed to rank the alternative marine fuels by combining fuzzy logarithmic least squares and fuzzy TOPSIS (Technique for Order Performance by Similarity to Ideal Solution). Fuzzy logarithmic least squares method has been employed to determine the weights of the criteria for sustainability assessment, and fuzzy TOPSIS was employed to determine the sustainability order of the alternatives. An illustrative case with three alternative marine fuels including methanol, LNG and hydrogen has been studied by the proposed method, and hydrogen has been recognized as the most sustainable scenario, follows by LNG, and methanol in the descending order. The results show that the proposed method is feasible for prioritizing the alternative marine fuels; it also has the ability to help the decision-makers to select the most sustainable option among multiple marine fuels.
- Nanjing University of Information Science and Technology China (People's Republic of)
- Hong Kong Polytechnic University (香港理工大學) China (People's Republic of)
- Hong Kong Polytechnic University (香港理工大學) Hong Kong
- Nanjing University of Information Science and Technology China (People's Republic of)
- Hong Kong Polytechnic University (香港理工大學) Hong Kong
Sustainability assessment, Marine fuel, Group decision making, Multi-criteria decision making, Fuzzy set
Sustainability assessment, Marine fuel, Group decision making, Multi-criteria decision making, Fuzzy set
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).91 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
