Abstract Countries that supply the majority of their energy needs from fossil fuels are turning to new, renewable, and eco-friendly energy sources. Wind energy technology has been the most promising alternative to traditional energy systems. The aim of this case study was the selection of the best wind turbine for one of the leading companies in Turkey. First, the studies on wind turbines in the literature were reviewed. The criteria used in these studies were listed. Interviews were conducted with the experts from the company and 21 criteria and the turbine alternatives were determined. Because there are multiple criteria, and some of them conflict with each other, it has been preferable to use multi-criteria decision making (MCDM) methods. The criteria were weighted by the SWARA method, which was not used in the previous turbine studies. The criterion weights of alternatives were given by experts using linguistic variable-defined neutrosophic numbers for the first time to select a wind turbine. TOPSIS and EDAS methods were used as the solution methods integrated with single valued neutrosophic numbers. The best wind turbine was selected with the assistance of the aggregation method of Borda.

中文翻译：

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使用涉及中智数的多准则决策技术选择风力涡轮机：来自土耳其的案例

摘要 大部分能源需求来自化石燃料的国家正在转向新的、可再生的和生态友好的能源。风能技术一直是传统能源系统最有前途的替代品。本案例研究的目的是为土耳其领先的公司之一选择最好的风力涡轮机。首先，回顾了文献中关于风力涡轮机的研究。列出了这些研究中使用的标准。与该公司的专家进行了访谈，确定了 21 项标准和涡轮机替代方案。因为有多个标准，其中一些相互冲突，所以最好使用多标准决策 (MCDM) 方法。这些标准由 SWARA 方法加权，以前的涡轮机研究中未使用该方法。备选方案的标准权重由专家首次使用语言变量定义的中智数来选择风力涡轮机。TOPSIS和EDAS方法被用作与单值中智数集成的求解方法。最好的风力涡轮机是在 Borda 的聚合方法的帮助下选出的。