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Publications
Yazdi, M. (2019), “Introducing a heuristic approach to enhance the reliability of system safety assessment”, Quality and Reliability Engineering International, Vol. 35, pp. 2612–2638
Introducing a heuristic approach to enhance the reliabilityof system safety assessmentMohammad Yazdi1,21University of Lisbon, Lisbon, Portugal2Mapna Group Co, Tehran, IranCorrespondenceMohammad Yazdi, University of Lisbon,Lisbon, Portugal.Email: mohammad.yazdi@tecnico.ulisboa.ptAbstractProbabilistic risk assessment techniques are the important tools which canconsiderably improve the safety performance of the studied system and reducethe risk to an acceptable level. Typically, decision-making process is an impor-tant part of risk assessment methods that accordingly bring the ambiguityinside. Decision makers as experts commonly express their subjective opinionsabout the occurrence of the root events in order to obtain the probability of theundesired event. Subsequently, the critical root events are identified, and pos-sible intervention is performed to reduce the probability of the critical events.However, the serious point is the viability of the obtained probabilities and pri-ority ranking of the critical events. In this study, a heuristic optimization modelof linear mathematical programming using triangular intuitionistic fuzzy num-ber (TrIFN) is proposed to obtain the feasible, optimum, and reliable resultscompared with available methods. The Spearman correlation is performed toexamine the reliability and behavior of the proposed model. In order to showthe effectiveness of the proposed approach, it is applied on a real case study.The application of the model confirms its robustness to prioritize critical rootevents over the conventional one.
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