The importance of risk assessment in the context of occupational health and safety by manufacturing operators strengthens their hands in solving the problems they may encounter in business processes related to health and safety. One of the most important phases of conducting an exhaustive occupational risk assessment is to analyze potential hazards and associated risks quantitatively. Since manufacturing is one of the industries that require workers to be highly exposed to work, creating a safer environment to reduce occupational injuries is an important task. This study proposes a novel fuzzy risk assessment approach developed by integrating Fermatean fuzzy sets (FFSs) and technique for order preference by similarity to ideal solution (TOPSIS) method for ranking potential hazards in manufacturing. FFSs are a new version of fuzzy set theory that covers the intuitionistic fuzzy sets and Pythagorean fuzzy sets. This version of the fuzzy set is crucial in the decision-making process to handle uncertain information more easily and reflect uncertainty better. A linguistic scale under Fermatean fuzzy documentation has also been developed for experts/decision makers to disclose their judgments easily. Occupational risk analysts can benefit from this approach since FFSs are used for the first time in occupational risk assessment, and the approach is presented in integration with TOPSIS. The proposed approach is applied in the aluminum plate-manufacturing process risk assessment. In the conclusion of the implementation, risks arising in the production are prioritized. In addition, this study made comparisons with other fuzzy methods to demonstrate the proposed approach’s difference and practicality. This study’s results can support practitioners and risk analysts in formulating the improvement measures to increase the safety of the work environment further.

制造经营者在职业健康和安全的背景下进行风险评估的重要性加强了他们解决他们在与健康和安全相关的业务流程中可能遇到的问题的能力。进行详尽的职业风险评估的最重要阶段之一是定量分析潜在危害和相关风险。由于制造业是要求工人高度接触工作的行业之一，因此创造更安全的环境以减少工伤是一项重要任务。本研究提出了一种新的模糊风险评估方法，该方法通过集成 Fermatean 模糊集 (FFS) 和通过与理想解决方案的相似性 (TOPSIS) 方法对制造中的潜在危险进行排序的顺序偏好技术而开发。FFS 是模糊集理论的新版本，它涵盖了直觉模糊集和勾股模糊集。这个版本的模糊集在决策过程中至关重要，可以更轻松地处理不确定信息并更好地反映不确定性。还开发了 Fermatean 模糊文档下的语言量表，供专家/决策者轻松披露他们的判断。职业风险分析人员可以从这种方法中受益，因为 FFS 首次用于职业风险评估，并且该方法与 TOPSIS 相结合。所提出的方法应用于铝板制造过程风险评估。在实施结束时，优先考虑生产中出现的风险。此外，本研究与其他模糊方法进行了比较，以证明所提出方法的差异性和实用性。这项研究的结果可以支持从业者和风险分析师制定改进措施，以进一步提高工作环境的安全性。