Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis

计算机科学 过程(计算) 管理科学 比例(比率) 质量(理念) 决策分析 数据科学 群体决策 决策支持系统 决策工程 商业决策图 选择(遗传算法) 运筹学 数据挖掘 人工智能 心理学 工程类 数学 社会心理学 哲学 统计 物理 认识论 量子力学 操作系统
作者
Diego García‐Zamora,Álvaro Labella,Weiping Ding,Rosa M. Rodríguez,Luis Martı́nez
出处
期刊:IEEE/CAA Journal of Automatica Sinica [Institute of Electrical and Electronics Engineers]
卷期号:9 (6): 949-966 被引量:109
标识
DOI:10.1109/jas.2022.105617
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.
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