With the growing population increase and following young population’s desire to study at the university, political authorities are supporting university and higher education investments, especially in the last 10 years. This situation has increased the number of universities considerably. Because a university will provide socioeconomic dynamism to both the development of the country and the region, choosing the right university location has become a significant problem nowadays. In line with this, this study is focused on supporting the new university location decision in a wide region in Turkey where currently the number of universities in the region is relatively low despite the high population density in the area. Alternative cities to be utilized in the study are determined particularly taking the demographic structure into consideration and various multicriteria decision-making (MCDM) techniques are applied. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) are applied to a real case study. Related criteria and alternative locations are specified by consulting seven experts. Within the study, both the results of these methods are presented, and also sensitivity analyses are conducted to observe how sensitive the results are to the changes in the criteria weights. The results obtained are purposed to aid decision makers in this field.

随着人口的增长以及年轻人对大学学习的渴望，政治当局正在支持大学和高等教育投资，尤其是在过去 10 年中。这种情况大大增加了大学的数量。由于大学将为国家和地区的发展提供社会经济活力，因此选择合适的大学地点已成为当今的一个重要问题。与此相一致，本研究的重点是支持在土耳其广阔地区的新大学选址决策，尽管该地区人口密度高，但该地区目前的大学数量相对较少。研究中使用的替代城市是特别考虑到人口结构而确定的，并应用了各种多标准决策 (MCDM) 技术。通过与理想解决方案相似的顺序偏好技术 (TOPSIS)、加权聚合总和产品评估 (WASPAS) 和基于比率分析的多目标优化 (MOORA) 应用于实际案例研究。相关标准和替代位置由咨询七位专家指定。在研究中，这些方法的结果都被呈现出来，并且还进行了敏感性分析，以观察结果对标准权重变化的敏感程度。获得的结果旨在帮助该领域的决策者。通过与理想解决方案相似的顺序偏好技术 (TOPSIS)、加权聚合总和产品评估 (WASPAS) 和基于比率分析的多目标优化 (MOORA) 应用于实际案例研究。相关标准和替代位置由咨询七位专家指定。在研究中，这些方法的结果都被呈现出来，并且还进行了敏感性分析，以观察结果对标准权重变化的敏感程度。获得的结果旨在帮助该领域的决策者。通过与理想解决方案相似的顺序偏好技术 (TOPSIS)、加权聚合总和产品评估 (WASPAS) 和基于比率分析的多目标优化 (MOORA) 应用于实际案例研究。相关标准和替代位置由咨询七位专家指定。在研究中，这些方法的结果都被呈现出来，并且还进行了敏感性分析，以观察结果对标准权重变化的敏感程度。获得的结果旨在帮助该领域的决策者。相关标准和替代位置由咨询七位专家指定。在研究中，这些方法的结果都被呈现出来，并且还进行了敏感性分析，以观察结果对标准权重变化的敏感程度。获得的结果旨在帮助该领域的决策者。相关标准和替代位置由咨询七位专家指定。在研究中，这些方法的结果都被呈现出来，并且还进行了敏感性分析，以观察结果对标准权重变化的敏感程度。获得的结果旨在帮助该领域的决策者。