Multi-attribute decision making method based on probabilistic linguistic term sets and its application in the evaluation of emergency logistics capacity
Affiliations: [a] School of Management, Hebei University, Baoding, China
| [b] School of Information, Beijing Wuzi University, Beijing, China
Correspondence:
[*]
Corresponding author. Zixue Guo, School of management, Hebei University, Baoding, China. E-mail: [email protected].
Abstract: The occurrence of public health emergency will cause huge economic losses and casualties, which posed a huge threat to the economic and social development. In response to the emergency, a large amount of emergency relief supplies will be transported to the affected areas. Faced with this public health emergency of international concern, the concept of emergency logistics capacity and the evaluation model based on probabilistic linguistic term sets are proposed. In this paper, the emergency logistics capability evaluation is transformed into user demand evaluation, and the importance of each index of emergency logistics capability is determined by using Quality Function Deployment (QFD) and prospect theory. Under the probabilistic language information environment, a multi-attribute decision making method is established by using TODIM method. Finally, an example is given to verify the feasibility of the proposed method.
Keywords: Emergency logistics capacity, probabilistic linguistic term sets, quality function deployment (QFD)
