信任驱动的群体决策:共识视角下的研究进展与展望

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mingshuo Cao , Qi Sun , Francisco Chiclana , Yujia Liu , Tiantian Gai , Yiling Yang , Jian Wu
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引用次数: 0

摘要

信任驱动群体决策(TGDM)是社会网络环境下个体之间通过信任关系和信息交换进行的一种新型决策过程。通过系统梳理TGDM的研究进展,探索其未来的研究方向,促进GDM的共识研究。本文首先基于文献计量学方法对近年来的发展现状和研究趋势进行了梳理,然后对TGDM相关的重要文献进行了总结和讨论。其次,界定了GDM和TGDM的科学研究范畴和基本框架。第三,总结了三峡工程问题的基本相关概念,分析了三峡工程的特点和作用。最后,分析了TGDM研究面临的问题和挑战,并对未来的研究方向进行了探讨。研究发现,许多学者从不同角度构建了多维度的TGDM模型,并在产品设计、失效模式与效果分析、元宇宙虚拟社区、水-能-食品等领域展示了出色的应用性能。此外,深入研究情境、行为和决策者人格特征驱动下的TGDM将是一个非常有前景的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust driven group decision making: Research progress and prospects from the perspective of consensus
Trust driven Group Decision Making (TGDM) is a new type of decision making process conducted through trust relationships and information exchange between individuals in the social network environment. By systematically organizing the research progress of TGDM and exploring its future research directions, the GDM research for consensus will be promoted. Firstly, this article combs the development status and research trends in recent years based on bibliometrics methods, and then summarizes and discusses the important literature related to TGDM. Secondly, it defines the scientific research category and basic framework of GDM and TGDM. Thirdly, the basic related concepts of TGDM problems are summarized, and then its characteristics and function are analyzed. Finally, it analyzes the problems and challenges faced by TGDM research and explores future research directions. It finds that many scholars have constructed multi-dimensional TGDM models from different perspectives, which have shown wonderful application performance in fields such as product design, failure mode and effects analysis, meta universe virtual communities, and Water–Energy–Food. In addition, it will be a very promising research direction to in-depth investigate TGDM driven by scene, behavior and decision maker’s personality characteristics.
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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