Selecting the proper site for disposing of solid waste is one of the serious environmental and public health concerns in metropolises. This multifaceted issue encompasses environmental, economic, social, geographical, technical, and legal criteria. Some of these criteria, however, are less influenced by experts' subjective judgments because they display scientific specifications. This study drew on a novel, integrated method for the selection of municipal solid waste (MSW) landfills in the Iranian metropolis, Shiraz; the study relied on the GIS and multi-criteria decision-making methods, which helped to reduce the number of comparisons in collecting experts' opinions, simplified the selection process, and enhanced the assessment method. The method proposed was regulated by DEMATEL and ANP. Primarily 13 criteria were identified in five groups through the Delphi method. Next, using the integrated method, the weight of each criterion was determined and was assigned to the corresponding layer in ArcGIS 10.5. By combining these layers through a fuzzy logic, the sites satisfying the disposal conditions were identified. The sites were then divided into six areas through the k-means clustering algorithm, while MOORA, WASPAS and COPRAS methods were used to discover the best sites based on their priorities. Finally, to confirm the reliability of the results, compare and verify them, and conduct sensitivity analysis on them, 13 scenarios were used.

中文翻译：

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通过GIS，K-Means和多标准决策分析来选择城市固体垃圾掩埋场的综合方法。

选择合适的处置固体废物的场所是大都市中严重的环境和公共卫生问题之一。这个多方面的问题涉及环境，经济，社会，地理，技术和法律标准。但是，由于其中一些标准显示出科学的规格，因此它们受专家的主观判断的影响较小。这项研究基于一种新颖的，综合的方法来选择伊朗大都市设拉子的城市生活垃圾（MSW）垃圾填埋场。该研究依靠GIS和多准则决策方法，这有助于减少专家意见收集中的比较次数，简化了选择过程，并增强了评估方法。提出的方法由DEMATEL和ANP规定。通过德尔菲法在五个组中初步确定了13个标准。接下来，使用集成方法确定每个标准的权重，并将其分配给ArcGIS 10.5中的相应图层。通过模糊逻辑对这些层进行组合，确定了满足处置条件的场所。然后，通过k均值聚类算法将站点划分为六个区域，同时使用MOORA，WASPAS和COPRAS方法根据优先级发现最佳站点。最后，为了确认结果的可靠性，进行比较和验证并对其进行敏感性分析，使用了13种情况。通过模糊逻辑对这些层进行组合，确定了满足处置条件的场所。然后，通过k均值聚类算法将站点划分为六个区域，同时使用MOORA，WASPAS和COPRAS方法根据优先级发现最佳站点。最后，为了确认结果的可靠性，进行比较和验证，并对它们进行敏感性分析，使用了13种情况。通过模糊逻辑对这些层进行组合，确定了满足处置条件的场所。然后，通过k均值聚类算法将站点划分为六个区域，同时使用MOORA，WASPAS和COPRAS方法根据优先级发现最佳站点。最后，为了确认结果的可靠性，进行比较和验证，并对它们进行敏感性分析，使用了13种情况。