Investigation and optimization of air pollution risk by a multi criteria decision making method using fuzzy TOPSIS (a case study of construction workers)

Document Type : Original Article


Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran



In this study Multi Objective Making Decision Method (MODM) has been combined with fuzzy TOPSIS for the investigation and optimization of the air pollution risk affecting the health and safety of construction workers of Lar city, Fars province, Iran. The comparison matrices (binary) and the Phillips–Perron test of different criteria and sub-criteria of health risk including safety view, safety efficiency, understanding the risk, and risk investigation were calculated to find the most effective factors for the optimization of the health risk of the workers. Accordingly, the results indicated “understanding the risk” followed by “safety efficiency” affected the health risk of the construction workers by the highest. However, among the sub-criteria “worker knowledge” and “manager knowledge”, “logistic specialized managers”, “modern facilities” and “modern technology” were the most effective ones. The selection of the linear and non-linear model was conducted according to the F values and using the Newton-Rafson test the model parameters were estimated. Most coefficients were significant at P= 0.99. The model has also a high describing value of 0.97. The final estimated homogeneity coefficient was equal to 1.31 and for the critical risk investigation was in the range of 0.86 and 2.72. The significance of the present research is to increase the health and safety of workers during work resulting in a more sustainable and healthier environment. Accordingly, the managers would be able to handle the risk, determine the tolerable risk, indicate the risk of each process to indicate the controlling expenses and take the essential measures for optimization.


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