The study attempted to map soil-erosion critical zones in the Guder sub-basin in Ethiopia. To map soil erosion sensitive areas, a digital elevation model (12 m × 12 m spatial resolution), precipitation data covering 30 years, soil type, and land use were utilized as inputs. Fuzzy logic techniques based on Geographic Information Systems (GIS) were integrated and analyzed on the ArcGIS 10.5 platform. Five contributing variables were considered as potential causes associated to soil-erosion in the study. Slope, land use, soil type, rainfall, and compound topographic index are the variables. Fuzzy membership values were constructed to generate the rankings of each parameter and their subclasses. Researcher and expert judgment with a survey of the previous studies were used to determine the membership value for each thematic layer and their classes. As a result, the soil-erosion zone map revealed very high, high, moderate, low, and very low erosion susceptibility with areal percentage distribution of 4.96%, 67.48%, 25.41%, 1.88%, and 0.27%, respectively. The study's findings were validated using cross-relationship of the contributing elements and the final map, which revealed strong relationships. The study's findings would help decision-makers and policymakers plan and implement effective watershed management strategies in highly vulnerable locations to soil erosion. Fuzzy logic approaches, when combined with GIS, have been proven to be a basic tool for determining erosion important locations. The final soil erosion map revealed that the majority of the studied areas were prone to soil erosion as a result of agricultural practices, necessitating integrated soil and water conservation practices.

该研究试图绘制埃塞俄比亚古德盆地土壤侵蚀临界区的地图。为了绘制土壤侵蚀敏感区域，使用数字高程模型（12 m × 12 m 空间分辨率）、涵盖​​ 30 年的降水数据、土壤类型和土地利用作为输入。基于地理信息系统（GIS）的模糊逻辑技术在ArcGIS 10.5平台上进行了集成和分析。在研究中，五个贡献变量被认为是与土壤侵蚀相关的潜在原因。坡度、土地利用、土壤类型、降雨量和复合地形指数是变量。构建模糊隶属度值以生成每个参数及其子类的排名。研究人员和专家的判断以及对先前研究的调查被用来确定每个主题层及其类别的成员值。结果，土壤侵蚀带图显示了非常高、高、中、低和极低的侵蚀敏感性，面积百分比分布分别为4.96%、67.48%、25.41%、1.88%和0.27%。使用贡献元素和最终地图的交叉关系验证了该研究的结果，这揭示了牢固的关系。该研究的结果将帮助决策者和政策制定者在水土流失高度脆弱的地区规划和实施有效的流域管理战略。模糊逻辑方法与 GIS 结合使用时，已被证明是确定侵蚀重要位置的基本工具。最终的土壤侵蚀图显示，由于农业实践，大多数研究区域容易发生土壤侵蚀，