The present study evaluated and selected the best location among susceptible landfill sites in Rudbar County using 27 criteria, as the maximum effective criteria, in the decision-making process. The emergence and comparison between the two methods of fuzzy and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with an engineering–geological approach have been conducted to obtain the best results. In this regard, inappropriate regions for landfill construction have been restricted after the conflation of two maps based on the restriction criteria. Then, the direction of prevailing winds and proper area for landfill construction was investigated for a 20-year perspective, and the regions that had more than 35-hectare area and were not located in the direction of the prevailing winds have been identified as responsive sites for landfill construction. Ultimately, selected susceptible regions were prioritized separately based on the TOPSIS and fuzzy methods. To ascertain the accuracy of the results and the reality of the resulted models, complementary field studies, geotechnical digging, and engineering–geological experiments have been used as verification parameters. According to the results of the verification, the fuzzy model having maximum matches with the verified data has been suggested for prioritizing susceptible regions.

本研究在决策过程中使用27条标准作为最大有效标准，评估并选择了Rudbar County易受影响的垃圾掩埋场中的最佳位置。为了获得最佳结果，已经进行了模糊方法和“与理想解决方案相似的优先顺序技术”（TOPSIS）两种方法的出现和比较。在这方面，根据限制标准将两张地图合并后，对不适合填埋场建设的区域进行了限制。然后，从20年的角度研究了主要风向和垃圾填埋场建设的适当区域，面积超过35公顷且不在盛行风向的区域被确定为垃圾填埋场建设的敏感地点。最终，基于TOPSIS和模糊方法分别对选定的敏感区域进行优先排序。为了确定结果的准确性和结果模型的真实性，已将补充的野外研究，岩土挖掘和工程地质实验用作验证参数。根据验证结果，已经提出了与验证数据具有最大匹配度的模糊模型，用于对敏感区域进行优先级排序。为了确定结果的准确性和结果模型的真实性，已将补充的现场研究，岩土挖掘和工程地质实验用作验证参数。根据验证结果，已经提出了与验证数据具有最大匹配度的模糊模型，用于对敏感区域进行优先级排序。为了确定结果的准确性和结果模型的真实性，已将补充的现场研究，岩土挖掘和工程地质实验用作验证参数。根据验证结果，已经提出了与验证数据具有最大匹配度的模糊模型，用于对敏感区域进行优先级排序。