A Hybrid DEMATEL-TOPSIS Approach Using 2-Tuple Linguistic q-Rung Orthopair Fuzzy Information and Its Application in Renewable Energy Resource Selection

Sumera Naz, Muhammad Akram (), Muhammad Muneeb ul Hassan () and Areej Fatima ()
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Sumera Naz: Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan
Muhammad Akram: ��Department of Mathematics, University of the Punjab, New Campus, Lahore 54590, Pakistan
Muhammad Muneeb ul Hassan: Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan
Areej Fatima: Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan

International Journal of Information Technology & Decision Making (IJITDM), 2024, vol. 23, issue 03, 1099-1142

Abstract: Vietnam, a country in Southeast Asia, is anticipated to experience an increase in energy consumption due to the growth of its manufacturing and industrial sectors, which aims to establish Vietnam as the world’s new production hub. Fossil fuels, which are ecologically unfriendly and quickly running out, are now Vietnam’s primary energy source. Due to the detrimental effects of fossil fuels on the environment, we can apply strategic decision-making in the industrial sector to choose the best alternative for a renewable energy resource (RER). RERs such as solar energy, wind energy, solid waste energy, biomass energy, geothermal energy, biofuel energy, and hydropower energy are important for generating energy and will be crucial for the survival of humanity, the planet, and other living things in the future. The actions of RER-based industrial development must be encouraged since they will make a significant contribution to overcome environmental impact limitations. The 2-tuple linguistic q-rung orthopair fuzzy set (2TLq-ROFS) is a novel development in fuzzy set theory that presents a decision-making method for selecting the most appropriate alternative. In this paper, we develop a family of the 2TLq-ROF Maclaurin symmetric mean aggregation operators such as the 2TLq-ROF Maclaurin symmetric mean (2TLq-ROFMSM) operator, the 2TLq-ROF dual Maclaurin symmetric mean (2TLq-ROFDMSM) operator and its weighted forms. We also look into a few of the proposed operators’ properties and special cases. Then based on 2TLq-ROFS, a new Decision Making Trial and Evaluation Laboratory (DEMATEL) model is constructed, which can use the decision makers’ preferences to get the optimum objective weights for attributes. Next, we extend the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to 2TLq-ROF version which not only covers the uncertainty of human cognition but also gives decision makers a larger space to represent their decisions. Utilizing this model the best RER for Vietnam is selected. The outcomes of the hybrid 2TLq-ROF-DEMATEL-TOPSIS method reveal that among the energy resources, hydropower energy ranked highest, followed by biofuel energy.

Keywords: 2-Tuple linguistic q-rung orthopair fuzzy set; DEMATEL; TOPSIS; renewable energy resource; MAGDM (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0219622023500323

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