Data-driven dynamic collaborative method of public and experts in large-group emergency decision-making

被引：0
|
作者：
Xu X. [1 ]
Zhu Y. [1 ]
机构：
[1] School of Business, Central South University, Changsha
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 12期
关键词：
aircraft accident; dynamic collaboration; large-group emergency decision-making; sentiment analysis; social media data;
D O I：
10.12305/j.issn.1001-506X.2023.12.17
中图分类号：
学科分类号：
摘要：
Aiming at the complex and changeable environment and the low public participation in large-group emergency decision-making, a data-driven dynamic collaborative method of public and experts in large-group emergency decision-making is proposed. Firstly, the sentiment analysis is carried out on text data in social media platforms to evaluate the quality of large-group emergency decision-making from attribute level and comprehensive level respectively. Secondly, according to the decision-making quality of attribute level, the dynamic update rules of attribute weight are proposed. Then, under the social network environment, the trust relationship between different experts is dynamically updated based on the comprehensive quality of decisionmaking and the distance between experts?preference and groups preference, and the expert weight is calculated by the PageRank algorithm. Finally? the effectiveness and superiority of the proposed method are verified through the case application and comparative analysis of an aircraft accident. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：3875 / 3886
页数：11
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