Procedia Computer Science
Hazardous industrial operations are highly stochastic, still human-dependent, and risky. Operators working in such an environment must understand the complex interrelation between several factors contributing to safe and effective operations. Therefore, being able to predict the effects of their actions on provoking or mitigating possible accidents is crucial. This study aims to utilize fuzzy cognitive maps (FCM) to model the expert’s reasoning about occupational health and safety (OHS) in confined space. This knowledge is used by operators to build their mental models. The developed FCM displays all the possible incidents of a confined space and links these incidents with all their causing and preventing factors. This approach may facilitate the development of simulation-based training solutions and allow operators to act proactively during the operation.
© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the International Conference on Industry 4.0 and Smart Manufacturing
Original Publication Citation
Longo, F., Padovano, A., Nicoletti, L., Fusto, C., Elbasheer, M., & Diaz, R. (2021). Fuzzy cognitive map-based knowledge representation of hazardous industrial operations. Procedia Computer Science, 180, 1042-1048. https://doi.org/10.1016/j.procs.2021.01.351
Longo, Francesco; Padovano, Antonio; Nicoletti, Letizia; Fusto, Caterina; Elbasheer, Mohaiad; and Diaz, Rafael, "Fuzzy Cognitive Map-Based Knowledge Representation of Hazardous Industrial Operations" (2021). VMASC Publications. 76.