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study found that the use of green fuel could 
potentially result in significant cost savings for the 
shipping industry, with some scenarios showing cost 
savings of up to 40%. Fuzzy set theory can be used to 
illustrate the impact of green fuel and cost 
profitability in the shipping industry. This paper will 
explore the use of fuzzy set theory to address the 
impact of green fuel and cost profitability  in the 
maritime industry, with a  focus  on recent  data  from 
Saudi Arabia[14]. There have been several case 
studies exploring the potential cost-benefit of green 
fuels in the shipping industry. One example is a 
recent study by the University of Delaware looking at 
the cost-benefit of using green fuel in the shipping 
industry. The study found that the use of green fuel 
could potentially result in significant cost savings for 
the  shipping  industry,  with  some  scenarios  showing 
cost savings of up to 40%. By utilizing FST, ship 
operators can identify potential fuel savings and cost 
savings  associated  with  green  fuel  fueling. 
Additionally, FST  can help identify the most cost-
effective fuel type for a particular ship and its mission. 
Saudi Arabia is an ideal location to study the impact 
of green fuel on ships due to its vast coastline and 
access to the Arabian Sea. 
9.5  Cost-profitability of green fuel 
The cost-profitability of using green fuel in ships 
depends on a number of factors, such as the cost of 
the fuel itself, the energy efficiency of the ship, and 
the cost of complying with environmental regulations. 
Generally speaking, the cost-profitability of green fuel 
is  higher  when  the  cost  of  the  fuel  itself  is  low,  the 
energy efficiency of the ship is high, and the cost of 
complying with environmental regulations is low. For 
example, in 2020, Saudi Arabian Shipping Company 
(SASCO) implemented a green  shipping strategy 
using fuzzy set theory to optimize the use of green 
fuel and reduce emissions. The strategy resulted in a 
reduction  in  fuel  costs  and  emissions,  as  well  as  an 
increase in efficiency and profitability. To evaluate the 
cost-profitability  of green fuel adoption in Saudi 
Arabia,  we  will  use  a  fuzzy  set  theory  approach  to  
model the economic and environmental impacts of 
different  fuel  types.  We  will  assign  membership 
functions to each fuel type based on their cost, 
availability,  and environmental performance. By 
combining these membership functions, we can create 
a fuzzy set that represents the overall cost-
profitability of green fuel adoption in the Saudi 
Arabian maritime industry. [11] 
10  IMPACT OF FUELING SHIPS WITH GREEN 
FUEL 
Data and Cases to  analyze the cost-effectiveness of 
green fuel for ships in the context of Saudi Arabia, 
data was collected from a variety of sources. Analysis 
using the data and cases collected, a fuzzy set theory 
approach was used to analyze the cost-effectiveness of 
green fuel for ships in the context of Saudi Arabia. 
The implementation of green fuel in the shipping 
sector in Saudi Arabia has led to a number of cost-
effective and profitable outcomes. For example, the 
use of green fuel in the pilot project at the port of 
Jeddah has resulted in a significant reduction in fuel 
costs. We can create a set of elements that represent 
the different cost-benefit scenarios that may result 
from the adoption of green fuel  [17]. By assigning a 
degree of membership to the different cost-benefit 
scenarios, we can create a model that will allow us to 
explore the potential impacts of green fuel on the 
shipping industry in a quantitative manner. Fuzzy set 
theory can be used to model the overall cost-
effectiveness of green fuel. By modeling these factors, 
it is possible to calculate the overall cost-effectiveness 
of green fuel. Saudi Arabia has been at the forefront of 
the use of green fuel in the maritime industry. Fuzzy 
set theory has been used to address the impact of 
green fuel in the maritime industry in Saudi Arabia. 
For example, a study was conducted to investigate the 
cost-effectiveness of green fuel in the Saudi ports. The 
study used fuzzy set theory to model the cost of green 
fuel, fuel efficiency, and environmental impact. The 
results of the study showed that the use of green fuel 
was cost-effective in the Saudi ports. 
11  CONCLUSION 
Green fuel adoption in the shipping industry offers 
substantial advantages, notably reduced emissions, 
enhanced efficiency, and potential cost savings. Saudi 
Arabia's investment in green fuel development is 
evidenced by recent data. Studies demonstrate its 
ability to lower fuel costs and mitigate emissions. This 
paper investigates the cost-effectiveness of green fuel 
in Saudi Arabia's shipping industry using fuzzy set 
theory. The impact of green fuel on cost-effectiveness 
and profitability is explored through real-world data, 
show  casing  its  benefits  in  cost  reduction  and 
enhanced profitability. The adoption of green fuels in 
shipping holds promise for significant cost savings 
and emissions reductions. Fuzzy set theory enables 
the modeling of green fuel's potential impact, 
evaluating various cost-benefit scenarios. Case studies 
suggest that its use can result in substantial cost 
savings and emissions reductions  in the shipping 
industry. 
This paper employs fuzzy set theory to investigate 
the potential impact of green fuels on the cost 
efficiency of Saudi Arabian shipping. The study 
demonstrates that fuzzy set theory can effectively 
capture the uncertainties associated  with  green  fuel 
implementation and cost profitability. By 
incorporating fuzzy set theory into an analytical 
model, the paper provides a comprehensive 
framework for assessing the impact of green fuels on 
the overall cost of shipping in Saudi Arabia. The 
model considers factors such as fuel costs, 
environmental regulations, and green fuel availability, 
which are often difficult to quantify using traditional 
methods. The results of the analysis can aid decision-
makers in evaluating the feasibility and profitability 
of green fuel adoption in the Saudi Arabian shipping 
industry.