Abstract
Occupational health and safety (OHS) is a systemic and multidisciplinary activity for anticipating, recognizing, evaluating and controlling the hazards that may impair the health of workers. Risk assessment of hazards plays a critical role in the OHS. However, due to the vagueness and uncertainty of information, it is difficult for experts to express their opinions with crisp numbers in the risk assessment process. In this paper, we present a new OHS model, which integrates bipolar fuzzy sets (BFSs) and multi-attributive border approximation area comparison (MABAC) method, for the risk assessment of occupational hazards. Specifically, the BFSs are utilized to deal with the vague and uncertain assessment information of hazards provided by experts and the MABAC method is used to determine the risk ranking of hazards. Moreover, we extend the stepwise weight assessment ratio analysis (SWARA) method with BFSs to obtain the weights of risk criteria. Finally, the occupational hazard risk assessment example on construction sites is conducted and a comparative analysis is performed to verify the effectiveness and availability of our proposed OHS model. The results show that the new integrated model provides a more effective and practical method for the risk prioritization of occupational hazards in OHS.
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Acknowledgements
The authors are very grateful to the respected editor and the anonymous referees for their insightful and constructive comments, which helped to improve the overall quality of the paper. This work was supported by the National Natural Science Foundation of China (Nos. 61773250 and 71671125) and the Program for Shanghai Youth Top-Notch Talent.
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Liu, R., Hou, LX., Liu, HC. et al. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment. Comp. Appl. Math. 39, 276 (2020). https://doi.org/10.1007/s40314-020-01311-7
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DOI: https://doi.org/10.1007/s40314-020-01311-7
Keywords
- Occupational health and safety (OHS)
- Bipolar fuzzy set
- Stepwise weight assessment ratio analysis (SWARA)
- Multi-attributive border approximation area comparison (MABAC)
- Risk assessment