典型文献
Large-Scale Group Decision Making:A Systematic Review and a Critical Analysis
文献摘要:
The society in the digital transformation era demands new decision schemes such as e-democracy or based on social media.Such novel decision schemes require the participation of many experts/decision makers/stakeholders in the decision processes.As a result,large-scale group decision making(LSGDM)has attracted the attention of many researchers in the last decade and many studies have been conducted in order to face the challenges associated with the topic.Therefore,this paper aims at reviewing the most relevant studies about LSGDM,identifying the most profitable research trends and analyzing them from a critical point of view.To do so,the Web of Science database has been consulted by using different searches.From these results a total of 241 contributions were found and a selection process regarding language,type of contribution and actual relation with the studied topic was then carried out.The 87 contributions finally selected for this review have been analyzed from four points of view that have been highly remarked in the topic,such as the preference structure in which decision-makers'opinions are modeled,the group decision rules used to define the decision making process,the techniques applied to verify the quality of these models and their applications to real world problems solving.Afterwards,a critical analysis of the main limitations of the existing proposals is developed.Finally,taking into account these limitations,new research lines for LSGDM are proposed and the main challenges are stressed out.
文献关键词:
中图分类号:
作者姓名:
Diego García-Zamora;álvaro Labella;Weiping Ding;Rosa M.Rodríguez;Luis Martínez
作者机构:
Department of Computer Science,University of Jaén,Jaén 23071,Spain;School of Information Science and Technology Nantong University,Nantong 226019,China
文献出处:
引用格式:
[1]Diego García-Zamora;álvaro Labella;Weiping Ding;Rosa M.Rodríguez;Luis Martínez-.Large-Scale Group Decision Making:A Systematic Review and a Critical Analysis)[J].自动化学报(英文版),2022(06):949-966
A类:
LSGDM
B类:
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AB值:
0.616086
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