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Confidence consensus-based model for large-scale group decision making: A novel approach to managing non-cooperative behaviors

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成果类型:
期刊论文
作者:
XuXuan-hua;DuZhi-jiao;ChenXiao-hong;CaiChen-guang
作者机构:
School of Accounting, Hunan University of Commerce, Changsha 410205, China
College of Logistics and Transportation, Central South University of Forestry and Technology, Changsha, 410004, China
School of Business, Central South University, Changsha 410083, China
Business School, Sun Yat-Sen University, Guangzhou 510275, China
语种:
中文
关键词:
Large-scale group decision making (LSGDM);Non-cooperative behaviors;Confidence consensus-based model;Rationality degree
期刊:
Information Sciences
ISSN:
0020-0255
年:
2019
卷:
477
页码:
410-427
机构署名:
本校为第一机构
院系归属:
会计学院
摘要:
Because of the complexity of real-world problems, large-scale group decision making has become a research topic of great interest in the field of decision science. Differences of opinion in a large group are highly likely. Sometimes, decision makers are unwilling to adjust their opinions to promote consensus. It is hence necessary to establish a consensus model for the effective management of opinion differences and non-cooperative behaviors. More importantly, the credibility of the adjustment information must be ensured. In this paper, we present a confidence consensus-based model for large-scale group decision making that provides a novel approach to addressing non-cooperative behaviors. First, some new concepts are proposed, including the collective adjustment suggestion and rationality degree. Then, we combine the rationality and non-cooperation of the adjustment information to construct the concept of a confidence level. This confidence level measures the impartiality and objectivity of the adjustment information and is the basis for managing non-cooperative behaviors. We then establish a mechanism for addressing non-cooperative behaviors. Finally, we present a case study that illustrates that the proposed model is feasible and effective. A comparative analysis reveals the features and advantages of this model for managing large-scale group decision making.

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