Traditionally, safety performance is assessed through statistical analyses of incident data, known as lagging indicators. Lagging indicators are not useful since the goal of founding safety management systems is the continuous improvement. In this study, a scale was established and validated to assess the elements that affect the organization safety. The fuzzy analytic network process (FANP) procedure was applied to weigh the elements and to reveal the influence of various structures for the proposed scales on the safety performance indicator. A 120-item scale was developed following the interview process to examine the factors that affect safety performance. Based on the face validity results, eight items were removed. The mean value of the instrument's validity index was 0.79. According to the FANP results, the organizational factor had the highest weight load of 0.465, whereas the environmental factor, with a weight of 0.209, had the least effect on the organization's safety performance index. An analysis of the study data showed that the designed scale can be used as an objective and simple tool to evaluate the factors that affect safety performance.

传统上，通过对事件数据进行统计分析来评估安全绩效，这些数据被称为滞后指标。落后指标没有用，因为建立安全管理系统的目标是不断改进。在这项研究中，建立并验证了一个量表，以评估影响组织安全的要素。应用模糊分析网络过程（FANP）程序对元素进行称重，并揭示所建议的秤的各种结构对安全性能指标的影响。采访过程后制定了120个项目的量表，以检查影响安全绩效的因素。根据面部有效性结果，删除了八个项目。仪器有效性指数的平均值为0.79。根据FANP结果，组织因素的最大负重为0.465，而环境因素的权重为0.209，对组织的安全绩效指数的影响最小。对研究数据的分析表明，设计的量表可以用作客观，简单的工具来评估影响安全性能的因素。