To address human error in system reliability, Human Reliability Analysis (HRA) is an essential issue. Human Error Assessment and Reduction Technique (HEART) as a rather straightforward technique for HRA has successfully been used in many areas to predict human error probability (HEP). However, knowledge acquisition of experts during assessed proportion of affect (APOA) calculation is subjected to vagueness and ambiguity. To overcome this challenge, in this paper Intuitionistic Fuzzy (IF) set due to their advantage to represent more fuzzy information than a classical fuzzy set adopted through APOA calculation. To demonstrate this hybrid approach short for, IF-HEART, the furnace start-up operation is handled, since analysis shows that most of explosions and losses occur during furnace start-ups operation. Further, a sensitivity analysis is carried out to approve the proposed integrated approach. In addition to its academic contribution, the results of the paper enable to improve the overall safety level of a furnace by taking into account potential human error.

为了解决系统可靠性中的人为错误，人员可靠性分析（HRA）是必不可少的问题。人为错误评估和减少技术（HEART）作为一种非常简单的HRA技术，已在许多领域成功地用于预测人为错误概率（HEP）。但是，在评估影响比例（APOA）计算过程中，专家的知识获取会受到模糊性和歧义性的影响。为了克服这一挑战，本文提出了直觉模糊（IF）集，因为它比APOA计算采用的经典模糊集具有更多的模糊信息。为了说明这种混合方法（IF-HEART的缩写），处理了炉子的启动操作，因为分析表明，大多数爆炸和损失发生在炉子的启动过程中。进一步，进行敏感性分析以批准提出的集成方法。除了其学术贡献外，本文的结果还通过考虑潜在的人为错误来提高熔炉的总体安全水平。