Ding Quanyu, Goh Mark, Wang Ying-Ming
Decision Sciences Institute, Fuzhou University, Fuzhou, 350116 Fujian People's Republic of China.
NUS Business School and the Logistics Institute-Asia Pacific, National University of Singapore, Singapore, Singapore.
Soft comput. 2021;25(13):8263-8279. doi: 10.1007/s00500-021-05751-z. Epub 2021 Apr 27.
Emergency responses bear the characteristics of uncertainty and possess multi-attributes in decision making. This paper applies the interval evidential reasoning approach and the interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method to tackle the dynamic emergency decision-making problem. We introduce a function to obtain the gain and loss degrees through the geometric area method. The gain and loss matrices of the interval belief degrees are found probabilistically. A new approach to obtaining the dominance degree matrix is proposed. From the IVHF-TODIM method, the overall dominance degree is established to provide the ranking of the decision alternatives. A recent case of selecting an emergency decision alternative for a large bushfire is used to validate the proposed method, followed by a comparative analysis.
应急响应具有不确定性的特点，在决策中具有多属性。本文应用区间证据推理方法和区间值犹豫模糊 TODIM（IVHF-TODIM）方法来解决动态应急决策问题。我们引入一个函数，通过几何面积法获得收益和损失程度。区间置信度的收益和损失矩阵通过概率方法得到。提出了一种获得优势度矩阵的新方法。基于 IVHF-TODIM 方法，建立总体优势度以提供决策方案的排序。通过一个近期为大型丛林火灾选择应急决策方案的案例来验证所提出的方法，随后进行比较分析。
