Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
---|---|---|
Article Number | 03031 | |
Number of page(s) | 8 | |
Section | Environmental Monitoring Repair and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202125703031 | |
Published online | 12 May 2021 |
Study on Dynamic Multi-objective Emergency Decision -making Model of Social Emergency
1
School of Management Guangdong University of Technology Guangzhou, China
2
School of Management Guangdong University of Technology Guangzhou, China
a e-mail: olina@gdut.edu.cn
b* Correspondence author: 1367786804@qq.com
According to the characteristics of emergencies, a dynamic multi-objective emergency decisionmaking model is proposed. By introducing triangular fuzzy Numbers to calculate the correlation distance between the selected solution, the ideal solution and the negative ideal solution, considering the correlation degree between solutions, the correlation between indexes is highlighted. In addition, the paper strengthens the processing of fuzzy and uncertain information in the real world through the comprehensive integrated fuzzy theory, which is closer to the practical application. Finally, the paper combines the example of emergency decision making of African swine fever accident, and found that the method is relatively scientific through the simulation calculation by the expert group from the invited school.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.