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Publicações
Yazdi, M. (2020), “A perceptual computing-based method to prioritizeintervention actions in the probabilistic risk assessment techniques”, Quality and Reliability Engineering International, Vol. 36, pp. 187-213
Probabilistic risk assessment techniques as the systematic tools have beenwidely used on the different type of industrial sectors to reduce the estimatedrisk to an acceptable level. The fact is to design inherently safety; hazards haveto be eliminated and reduced in risk as much as possible with the consider-ation of several interventions. In this regard, multicriteria decision making(MCDM) science is commonly integrated with the probabilistic risk assessmenttechniques to improve the safety performance of a system. Thus, it has beenwidely used to assist decision makers in controlling the identified process haz-ards in a different type of engineering applications. However, by increasing thecomplexity of industrial sectors as well as human being judgments, typicalMCDM methods cannot highly guarantee their output results. According tothis point, proposing MCDM methods based on mathematical programminghave been interested in scholars due to high reliability and feasibility of theresults. In this paper, we extended integration of MULTIMOORA approachwith the Choquet integral under subjectivity circumstances to prioritize correc-tive actions in a typical probabilistic risk assessment technique. To illustratethe efficiency and feasibility of the proposed method, it has been applied in areal case study.
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