After the epidemic, all enterprises are faced with the difficult decision about whether the enterprise should resume work and production immediately, which is related to the safety and development of enterprises. The three-way decisions offer a novel study perspective to solve this problem. Firstly, we describe some relevant attributes of the enterprise with double hierarchy hesitant fuzzy linguistic term sets, and construct double hierarchy hesitant fuzzy linguistic information systems for each enterprise. Secondly, we get the weights of attributes with the entropy weight method, and take the weighted aggregation of attributes information as the conditional probability that the enterprise is in a safe state. Next, we classify each enterprise according to its size. Considering the influence of different sizes of enterprises, we put forward the corresponding loss function matrix. Then we get the decision results about work resumption based on the principle of minimizing the loss, which demonstrates the practicability and effectiveness of our method. Finally, we compare the method proposed by us with the other method and discuss the advantages and limitations of our proposed method.

流行之后，所有企业都面临着企业是否应该立即恢复生产和生产的艰难决定，这关系到企业的安全和发展。三项决定为解决该问题提供了新颖的研究视角。首先，我们用双重层次犹豫模糊语言术语集描述了企业的一些相关属性，并为每个企业构建了双重层次犹豫模糊语言信息系统。其次，通过熵权法得到属性的权重，将属性信息的加权集合作为企业处于安全状态的条件概率。接下来，我们根据规模对每个企业进行分类。考虑到不同规模企业的影响，提出了相应的损失函数矩阵。然后，基于最小化损失的原理，得到了恢复工作的决策结果，证明了该方法的实用性和有效性。最后，我们将我们提出的方法与其他方法进行了比较，并讨论了我们提出的方法的优点和局限性。