In this study a fuzzy logic model was adopted to assess the degree of Domestic Ergonomic Hazards (DEH) among women in the Southwest Nigeria. Three risk factors of weight (Kg), height of load (cm) and the handlers’ arm reach (cm) were used. The leading objective was to provide an improved assessment ergonomics tool to Risk Assessment Filter (RAF). The algorithm of the fuzzy inference engine applied sets of 64 linguistic rules to generate the output variable in lifting/lowering risk. The Spearman’s rank correlation value of 0.85 at the confidence level of 0.01, indicated no significant difference between the human predictions of DEH with the use of RAF tool and the model’s predictions. The risk values and interpretations generated by the model were confirmed not just similar to, but with better information than, using RAF. The study proposed a fuzzy-based model for an enhanced domestic ergonomics among women than using RAF device. It is simple and can find its usefulness in household chores.