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American Journal of Business and Operations Research
Volume 10 , Issue 2, PP: 14-22 , 2023 | Cite this article as | XML | Html |PDF

Title

Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets

  Ahmed M. Ali 1 * ,   Ahmed Abdelmouty 2

1  Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt
    (a_abdelmouty@zu.edu.eg)

2  Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt Emails
    (aabdelmonem@fci.zu.edu.eg)


Doi   :   https://doi.org/10.54216/AJBOR.100202

Received: December 10, 2022 Revised: February 21, 2023 Accepted: March 20, 2023

Abstract :

While it is still in its infancy in comparison to other forms of renewable technology, there is a growing amount of interest and backing for wave energy as a potentially useful renewable resource that could replace a portion of the existing energy supply. In the context of sustainable development, the choice of technology represents a multi-criterion decision-making (MCDM) challenge that may affect the competitive advantages enjoyed by an organization or a nation. The purpose of this study is to evaluate the many wave energy technologies that are now in use as possible choices for green and sustainable technologies that may be used in the seas and oceans. However, requirements like ecological, financial, and technological factors that are based on the fundamental idea of sustainability calls for unclear or unreliable expert assessments that can be solved using single-valued neutrosophic sets (SVNSs). Because of this, the selection of sustainable wave energy technology requires the creation of a one-of-a-kind framework that can analyze both clear and ambiguous data simultaneously without sacrificing any of the information in either category. This study developed a framework that uses measurement alternatives and ranking based on compromise solution (MARCOS) within the context of SVNSs to assist decision-makers in the process of resolving real-time energy problems. An application of the process of selecting the wave energy technology is taken into consideration here as a means of illustrating how applicable the suggested framework is.

Keywords :

 Single-Valued Neutrosophic Sets; MCDM; Renewable Energy; Wave Energy Technology.

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Cite this Article as :
Style #
MLA Ahmed M. Ali, Ahmed Abdelmouty. "Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets." American Journal of Business and Operations Research, Vol. 10, No. 2, 2023 ,PP. 14-22 (Doi   :  https://doi.org/10.54216/AJBOR.100202)
APA Ahmed M. Ali, Ahmed Abdelmouty. (2023). Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets. Journal of American Journal of Business and Operations Research, 10 ( 2 ), 14-22 (Doi   :  https://doi.org/10.54216/AJBOR.100202)
Chicago Ahmed M. Ali, Ahmed Abdelmouty. "Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets." Journal of American Journal of Business and Operations Research, 10 no. 2 (2023): 14-22 (Doi   :  https://doi.org/10.54216/AJBOR.100202)
Harvard Ahmed M. Ali, Ahmed Abdelmouty. (2023). Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets. Journal of American Journal of Business and Operations Research, 10 ( 2 ), 14-22 (Doi   :  https://doi.org/10.54216/AJBOR.100202)
Vancouver Ahmed M. Ali, Ahmed Abdelmouty. Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets. Journal of American Journal of Business and Operations Research, (2023); 10 ( 2 ): 14-22 (Doi   :  https://doi.org/10.54216/AJBOR.100202)
IEEE Ahmed M. Ali, Ahmed Abdelmouty, Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets, Journal of American Journal of Business and Operations Research, Vol. 10 , No. 2 , (2023) : 14-22 (Doi   :  https://doi.org/10.54216/AJBOR.100202)