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

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 [Formula: see text]-rung orthopair fuzzy set (2TL[Formula: see text]-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 2TL[Formula: see text]-ROF Maclaurin symmetric mean aggregation operators such as the 2TL[Formula: see text]-ROF Maclaurin symmetric mean (2TL[Formula: see text]-ROFMSM) operator, the 2TL[Formula: see text]-ROF dual Maclaurin symmetric mean (2TL[Formula: see text]-ROFDMSM) operator and its weighted forms. We also look into a few of the proposed operators’ properties and special cases. Then based on 2TL[Formula: see text]-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 2TL[Formula: see text]-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 2TL[Formula: see text]-ROF-DEMATEL-TOPSIS method reveal that among the energy resources, hydropower energy ranked highest, followed by biofuel energy.