aspg-21-2272-1791468659 20261008141059 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2024 23 1 Dionisio Ponce Ruiz Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Giovanny Pineda Silva Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Maha Ibrahim Tashkent state university of Economics, Tashkent, Uzbekistan Full exploitation of offshore wind resources still needs to be completed despite their significant potential to reduce the impacts of climate change via the production of renewable power. Planning strategies that include wind resources, safety, economic, social, and government impacts are essential for advancing offshore wind generation projects. This study aims to evaluate the criteria for wind power plants and select the best turbine. This process has various conflict criteria, so the multi-criteria decision-making (MCDM) methodology deals with multiple criteria. The ARAS method is an MCDM method used to rank the alternatives. The ARAS method uses the single-valued neutrosophic set to deal with uncertain information. We gathered eleven criteria and fifteen alternatives. The results show the turbine resource is the best and the economic criterion is the worst. The sensitivity analysis is conducted to ensure the proposed model's results and show the strength of the proposed method. The results show the proposed model is suitable for selecting the best wind power plant. 2024 205 215 2272 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.230118 https://www.americaspg.com/journal/21/article/2272 https://www.americaspg.com/storage/31701377642.pdf