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首页> 外文期刊>SAGE Open >A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem
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A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

机译：基于TOPSIS，WASPA和大学定位选择问题的决策模型

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摘要

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.
机译：随着人口越来越大，追随年轻人渴望在大学学习，政治当局正在支持大学和高等教育投资，特别是在过去的10年里。这种情况大大增加了大学的数量。由于大学将为国家和该地区的发展提供社会经济动力，选择了正确的大学位置已经成为现在的重要问题。符合这项研究，本研究专注于支持在土耳其广域地区的新大学地点决定，目前该地区人口密度高，该地区的大学人数相对较低。在该研究中使用的替代城市被确定考虑到人口结构，并且应用了各种多标准决策（MCDM）技术。通过相似性与理想解决方案（TOPSIS）的顺序偏好技术，加权汇总和产品评估（WASPA）以及基于比率分析（Moora）的多目标优化应用于实际案例研究。相关标准和替代地点是通过咨询七位专家指定的。在该研究中，呈现了这些方法的结果，并且还进行了灵敏度分析以观察结果对标准权重的变化有何敏感。所获得的结果是有助于援助该领域的决策者。

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