Fuzzy Logic Modeling of Factors Affecting Musculoskeletal Disorders in a Steel Factory in Iran: A Cross-Sectional Study

The aim of this study was to model associated factors affecting musculoskeletal disorders (MSDs), using fuzzy logic in a steel factory in Iran.A cross-sectional study was conducted on steel industry workers. A 6-part questionnaire was used, consisting of demographic characteristics, occupational stress, work-family conflict, general health, occupational postures, and Nordic Musculoskeletal Questionnaire. Pearson correlation was used for statistical analysis.The prevalence of MSDs for 270 participants in the studied factory was 94.8%. Job stress, work-family conflict, general health, and work posture had a statistically significant relationship with MSDs (P.05). The fuzzy model demonstrated 23.8% predictability for the actual data of the study. The defuzzification data had significant correlation with real data of MSDs.The results of this study provided a new perspective about associated factors affecting MSDs and demonstrate that fuzzy logic can be used as a possible tool for evaluating MSDs.