Soil wearing away or erosion is a chief agent of land loss in agricultural land and is regarded worldwide as a serious environmental hazard. This study performed watershed prioritization using morphometric parameters based on fuzzy best worse method (F-BWM) and GIS integration for Gusru Watershed, India. This study prioritizes sub-watersheds of the study area from viewpoint of soil erosion using five major parameters i.e., stream frequency (F_s), relative relief (R_r), length of overland flow (L_o), relief ratio (R_h) and drainage density (D_d). Fuzzy based Best Worse Multi-Criteria Decision-Making (F-BWM) Method was used to assigning weights to used criteria and combining them to achieve erosion susceptibility for each sub-watershed. Results showed that sub-watersheds 9, 14, and 5 were most susceptible to soil erosion and sub-watershed 3 was the least from the viewpoint of soil erosion ranking.

土壤磨损或侵蚀是农业用地土地流失的主要因素，在世界范围内被视为严重的环境危害。本研究使用基于模糊最佳差法 (F-BWM) 和 GIS 集成的形态参数对印度 Gusru 流域进行流域优先级排序。本研究从土壤侵蚀的角度对研究区域的子流域进行优先排序，使用五个主要参数，即河流频率（F _s）、相对地形（R _r）、地表流长度（L _o）、地形比（R _h）和排水密度（D _d）。基于模糊的最佳最差多标准决策 (F-BWM) 方法用于为使用的标准分配权重，并将它们组合起来以实现每个子流域的侵蚀敏感性。结果表明，从水土流失排名来看，流域9、14、5最易受水土流失影响，流域3最小。