From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey
作者：
Tang, Ming;Liao, Huchang
通讯作者：
Huchang Liao
作者机构：
Business School, Sichuan University, Chengdu 610064, China
通讯机构：
Business School, Sichuan University, Chengdu 610064, China
语种：
英文
关键词：
Big data;Large-scale group decision making;Challenges;Review;Future directions
期刊：
Omega
ISSN：
0305-0483
年：
2021
卷：
100
页码：
102141
基金类别：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71771156, 71971145
摘要：
The arrival of Big Data era has brought large, complex, and growing data generated from numerous sources. Due to the power in felicitous decision making based on diverse and large data, Big Data can be used in distinct disciplines, especially in social Big Data such as e-commerce, e-marketplaces and social media platforms. As a result, the large-scale group decision making, in which a large number of decision-makers take part in the decision-making process, has become a much-talked-about topic in decision science. Because of the characteristics of social Big Data, much more information in large-scale group decision making will arise than conventional group decision making...
