Volume 4, Issue 2 (April 2020)                   AOH 2020, 4(2): 548-556 | Back to browse issues page

10.18502/aoh.v4i2.2709


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1- MSc, Department of Occupational Health Engineering, School of health, Tehran University of medical sciences, Tehran, Iran
2- MSc, Department of Occupational Health Engineering, School of health, Esfahan University of medical sciences, Esfahan, Iran
3- Associate Professor, Department of Occupational Health Engineering, School of health, Tehran University of medical sciences, Tehran, Iran , a_karimi@sina.tums.ac.ir
4- PhD student, Department of Occupational Health Engineering, School of health, Tehran University of medical sciences, Tehran, Iran
Abstract:   (617 Views)
Background: Unsafe behavior in industries can be due to different factors. The aim of this study was to predict and model unsafe behavior using a safety atmosphere and cultural attitudes questionnaires. Methods: This study was a descriptive-analytic and cross-sectional examination that analyzed the data and predicted the unsafe behaviors of 90 construction workers using Neuro-Fuzzy Inference System (ANFIS) in MATLAB R2016a software. Results: In this study, the model of the safety atmosphere - unsafe behavior and the model of the cultural attitudes - unsafe behavior had the regression coefficients of 0.93373 and 0.9234, respectively. It showed that each of the parameters has a close relationship to the rate of the unsafe behavior. In this regard, a combination of the safety atmosphere and safety attitude parameters for the estimation of the unsafe behaviors achieved the better results with a regression coefficient of 0.9453 which indicates the direct effect of both parameters simultaneously on unsafe behavior. Conclusion: Based on the findings, it can be concluded that the neuro-fuzzy model can be used as an appropriate tool for predicting unsafe behavior in the industries.
 
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Type of Study: Research | Subject: Special
Received: 2019/01/14 | Accepted: 2020/04/8 | Published: 2020/04/8