In transitioning towards cleaner production and any other new policy, public acceptance is often seen as a major issue. Edutainment energy parks, with the potential to produce and exhibit various renewable energies, seems to be a successful strategy for increasing public awareness and culture building that may lead to public acceptance. The location of these park is the first, and perhaps the most important, challenge impacting their future usage and success. In this study, a hybrid decision support model was developed by combining the Delphi method (to obtain the main site selection criteria), the Making Trial and Evaluation Laboratory technique (to establish the interdependence and correlation between complex criteria), and the Fuzzy Analytic Network Process (to overcome inconsistent and uncertain judgments whilst weighting the selected criteria). The developed method identified twelve sub-criteria grouped under four main criteria, including transportation infrastructures, population and social, environmental, and physical indicators. The weighting results showed that the built environment and natural topography (0.148), parcel size, land use and economic matters (0.146), legibility (0.107), and population centers (0.104) are the four most important sub-criteria. Application to a real data set of Tehran for efficiency revealed that Afra Park with a 5419 m² area is the most optimal parcel for establishing an edutainment energy park in District 7 of the city, according to the selected criteria. Therefore, implementing these criteria demonstrated that they can be useful when working on a practical project with real data.

在向清洁生产和任何其他新政策过渡时，公众的接受度通常被视为主要问题。具有生产和展示各种可再生能源潜力的娱乐能源公园，似乎是提高公众意识和文化建设的成功战略，可能会引起公众的认可。这些公园的位置是影响其未来使用和成功的第一个，也许是最重要的挑战。在这项研究中，通过结合Delphi方法（以获得主要的选址标准），制造试验和评估实验室技术（建立复杂标准之间的相互依赖关系），开发了一个混合决策支持模型，和模糊分析网络过程（在权衡选定标准的同时克服不一致和不确定的判断）。所开发的方法确定了12个子标准，将其分为四个主要标准，包括运输基础设施，人口，社会，环境和物理指标。加权结果显示，建筑环境和自然地形（0.148），地块大小，土地使用和经济事项（0.146），易读性（0.107）和人口中心（0.104）是四个最重要的子标准。应用于德黑兰的真实数据集以提高效率时，发现Afra Park拥有5419 m 加权结果显示，建筑环境和自然地形（0.148），地块大小，土地使用和经济事项（0.146），易读性（0.107）和人口中心（0.104）是四个最重要的子标准。应用于德黑兰的真实数据集以提高效率时，发现Afra Park拥有5419 m 加权结果显示，建筑环境和自然地形（0.148），地块大小，土地使用和经济事项（0.146），易读性（0.107）和人口中心（0.104）是四个最重要的子标准。应用于德黑兰的真实数据集以提高效率时，发现Afra Park拥有5419 m根据选定的标准，“ ²区”是在该市第7区建立一个娱乐能源公园的最佳地段。因此，实施这些标准表明，当使用实际数据进行实际项目时，这些标准会很有用。