In todaychr('39')s world, for many reasons, accidents occur in many organizations. One of the goals of these events is to hit countrieschr('39') industrial bases. To minimize the risk of such threats, it is necessary to design and implement risk identification and risk assessment programs. The purpose of this study was to evaluate the risks associated with conventional and fuzzy FMEA-aware threats and compare the results of these two methods. M
Methods and Materials:
In this study fuzzy FMEA and FMEA methods were used to identify and evaluate hazards. TOPSIS method was used to prioritize the two techniques. Data were analyzed using MATLAB software.
The results showed that in the fuzzy FMEA method, despite the high time and cost of implementation and higher educational needs, due to the high level of accuracy of the results, it is possible to more accurately estimate the risk levels and thus to prioritize the units more efficiently. Therefore, the output of this study introduced the fuzzy FMEA approach as the superior approach.
It was found that using a fuzzy approach can lead to a reduction of uncertainty. This increases the efficiency and thus the efficiency of the organizations
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