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题名A hesitation-feedback recommendation approach and its application in large-scale group emergency decision making
作者
发表日期2023-03-01
发表期刊Expert Systems with Applications
ISSN/eISSN0957-4174
卷号213
摘要

Group Decision Making (GDM) has been well studied in the last two decades. Yet, two challenges exist: (a) how to resolve large-scale groups in GDM and achieve the consensus of preferences and (b) how to conduct GDM under risk and emergency conditions. In this paper, we develop a complete problem-solving approach for GDM that orients twofold settings of the complex large-scale group and the time-sensitive emergency decision scenarios. The crux of the matter is to design a feasible mechanism of group consensus strategies in the environment of time pressure and natural language preferences. To solve this problem, we propose a closed-loop mechanism of feedback recommendation strategies accompanied with a new subgroup identification method. This mechanism is underlain by a fourfold decomposition of complex large-scale groups, which entails multiple thresholds of group consensus, group hesitation, and time-related iteration of loops. Our mechanism and the whole GDM approach thoroughly orient the most intuitive representation of preferences - human natural language, which can be elicited and quantitatively formulated in probability linguistic preference systems. We illustrate the proposed approach through a real case study of China's fight against the COVID-19 epidemic. We verify that our mechanism can perfectly tradeoff between the effectiveness and the efficiency of complex large-scale GDM under risk and emergency. The results of this research provide proposals for mechanisms on large-scale GDM and are expected to contribute to emergency management such as epidemic controls, anti-terrorism, and other man-made or natural hazards.

关键词Consensus modelling Decision making Emergency decision Large-scale group Natural language preferences
DOI10.1016/j.eswa.2022.118876
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收录类别SCIE
语种英语English
WOS研究方向Computer Science ; Engineering ; Operations Research & Management Science
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号WOS:000867537300013
Scopus入藏号2-s2.0-85138462801
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/10301
专题工商管理学院
通讯作者Chai, Junyi
作者单位
1.School of Business,Central South University,Changsha,China
2.Faculty of Business and Management,BNU-HKBU United International College,Zhuhai,China
3.School of Frontier Interdisciplinary,Hunan University of Technology and Business,Changsha,China
通讯作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Xu, Xuanhua,Chai, Junyi,Chen, Xiaohong. A hesitation-feedback recommendation approach and its application in large-scale group emergency decision making[J]. Expert Systems with Applications, 2023, 213.
APA Xu, Xuanhua, Chai, Junyi, & Chen, Xiaohong. (2023). A hesitation-feedback recommendation approach and its application in large-scale group emergency decision making. Expert Systems with Applications, 213.
MLA Xu, Xuanhua,et al."A hesitation-feedback recommendation approach and its application in large-scale group emergency decision making". Expert Systems with Applications 213(2023).
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