This study examines the impact of ordering elements on sexual harassment in educational environments and assesses legislative measures aimed at improving the safety of female students in schools and universities. The combination of the ordinal priority approach with fuzzy information and intuitionistic fuzzy MARCOS within a decision framework facilitates the identification of numerous critical components. Initially, we employ an ordinal priority method on fuzzy data to determine the weights of the attributes. Subsequently, we employ the intuitionistic fuzzy MARCOS methodology to assess the prioritised aspects. The formulation of triangular fuzzy numbers for analytical objectives enhances decision-making. This study employs Dombi aggregation operations to comprehensively assess the influence of these factors on school sexual harassment. This research presents a systematic, data-informed approach to assist legislators in developing successful strategies for mitigating sexual harassment and improving safety in educational settings.