Conventional risk assessment methods are widely used for industrial safety applications. However, there are serious obstacles to their usage as; (i) all of the potential hazards are considered as an independent event, (ii) various risks are identified based on these hazards, (iii) risk magnitudes of these risks are obtained without considering interdependencies among the hazards, and then (iv) the protective measures against the defined risks are taken based on these risk magnitudes. Therefore, conventional methods do not provide any assessment for overall risks in the working environment. Furthermore, although an accident may cause different severity such as loss of working days, loss of limbs, occupational disease, and death, the conventional methods do not consider all potential consequences of any accident, simultaneously. The main objective of this paper is to propose an effective risk assessment approach by using the fuzzy set theory, Analytical Hierarchy Process (AHP), Fuzzy Inference System (FIS), and Quality Function Deployment (QFD) methods to quantify the risk of any hazard considering interdependencies among all potential hazards and consequences in working environment. Within the scope of this research, an application in the mining sector has been presented to illustrate the validation and the effectiveness of the proposed approach**.

中文翻译：

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基于QFD，模糊推理系统和层次分析法的矿业部门混合风险评估方法

常规风险评估方法广泛用于工业安全应用。但是，它们的使用存在严重的障碍。（i）将所有潜在危害视为独立事件，（ii）根据这些危害确定各种风险，（iii）在不考虑危害之间相互依赖性的情况下获得这些风险的风险大小，然后（iv）根据这些风险幅度采取针对已定义风险的保护措施。因此，常规方法不能对工作环境中的整体风险提供任何评估。此外，尽管事故可能导致不同的严重程度，例如工作日损失，四肢丧失，职业病和死亡，但常规方法并未同时考虑任何事故的所有潜在后果。本文的主要目的是通过使用模糊集理论，层次分析法（AHP），模糊推理系统（FIS）和质量功能展开（QFD）方法提出一种有效的风险评估方法，以量化任何危害的风险考虑工作环境中所有潜在危害和后果之间的相互依赖性。在这项研究的范围内，已经提出了在采矿部门的一种应用，以说明所提出方法的有效性和有效性**。考虑到所有潜在危害和工作环境后果之间的相互依赖关系，以及质量功能部署（QFD）方法来量化任何危害的风险。在这项研究的范围内，已经提出了在采矿部门的一种应用，以说明所提出方法的有效性和有效性**。考虑到所有潜在危害和工作环境后果之间的相互依赖关系，以及质量功能部署（QFD）方法来量化任何危害的风险。在这项研究的范围内，已经提出了在采矿部门的一种应用，以说明所提出方法的有效性和有效性**。