Abstract
In the field of risk assessment, one of the main aspects is the frequency of accident circumstances. Generally, the risk assessment evaluation is done using generic frequency approach. In case of accident, human factors associated with assigning the impact and cause of the hazard is not considered. Rather more focus is given to generic frequency approach which does not explicitly use the human factors. The main reason behind ignoring this factor primarily lies in the fact that its inclusion makes the entire procedure more complex. However, the proposed fuzzy logic approach helps in achieving the associated complexities in risk computation when we include human factors.
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Vijayan, A., Kumar, A.S., Narayanan, J. (2020). Fuzzy Logic: Adding Personal Attributes to Estimate Effect of Accident Frequencies. In: Dash, S., Lakshmi, C., Das, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 1056. Springer, Singapore. https://doi.org/10.1007/978-981-15-0199-9_40
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DOI: https://doi.org/10.1007/978-981-15-0199-9_40
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