Renewable Energy Resources (RERs) are becoming increasingly significant for energy generation and will have vital for the future of humans, earth, and other living things. Due to the negative environmental impacts of fossil fuels, the authorities have taken RERs into account further. As a result, the present study extended a novel model using the Level Based Weight Assessment (LBWA) model based on in Interval Rough Number (IRN) extension of the Combinative Distance-Based Assessment (CODAS) method to cope with uncertain domain-based RER selection. A survey method using literature review and interview has been conducted to find and select appropriate perspectives and criteria; in this regard, the selected criteria were classified based on four groups, including socio-political, environmental, economic, and technical. Five sources of renewable energy, including solar energy, biomass energy, wind energy, hydropower energy, and geothermal energy, are evaluated in Turkey. The results of the extended IRN CODAS approach demonstrated that hydropower energy had the first rank among other sources, followed by solar energy, geothermal energy, biomass energy, and wind energy. In the application of the suggested model, the most suitable RER alternative is determined for Turkey. The results of this study showed the effectiveness, efficiency, and capability of the proposed methodology in the assessment of RERs.

可再生能源（RER）在能源生产中正变得越来越重要，并将对人类，地球和其他生物的未来至关重要。由于化石燃料对环境的不利影响，当局进一步考虑了RER。结果，本研究扩展了一种新的模型，该模型使用基于水平距离评估（CODAS）方法的区间粗糙数（IRN）扩展的基于级别的权重评估（LBWA）模型来应对不确定的基于域的RER选择。已经进行了一种使用文献综述和访谈的调查方法，以找到并选择适当的观点和标准；在这方面，所选标准根据社会政治，环境，经济和技术四个类别进行分类。五种可再生能源 在土耳其评估了包括太阳能，生物质能，风能，水能和地热能在内的能源。IRN CODAS扩展方法的结果表明，水电能源在其他能源中排名第一，其次是太阳能，地热能，生物质能和风能。在建议模型的应用中，确定了最适合土耳其的RER替代方案。这项研究的结果表明了所提出的方法在RER评估中的有效性，效率和能力。生物质能和风能。在建议模型的应用中，确定了最适合土耳其的RER替代方案。这项研究的结果表明了所提出的方法在RER评估中的有效性，效率和能力。生物质能和风能。在建议模型的应用中，确定了最适合土耳其的RER替代方案。这项研究的结果表明了所提出的方法在RER评估中的有效性，效率和能力。