首页|基于DeGroot模型的社会网络群体共识决策方法

基于DeGroot模型的社会网络群体共识决策方法

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针对社会网络环境下的共识决策问题,提出一种基于DeGroot模型的群体共识决策方法.首先,根据DeGroot模型及群体意见领袖的性质,得到群体关于备选方案的偏好信息,其次,考虑决策群体之间的意见相似度,度量群体综合偏好的共识水平,接着,构建最小调整优化模型,进而计算备选方案的排序.最后,通过一个算例验证方法的可行性与有效性.
A Social Network Group Consensus Decision-Making Method Based on DeGroot Model
Aiming at the consensus decision-making problem in social network environment,this paper proposes a group consensus decision-making method based on DeGroot model.First,accord-ing to the DeGroot model and the nature of group opinion leaders,the group's preference information about alternatives is obtained.Second,the opinion similarity between the decision-making groups is considered to measure the consensus level of the group's combined preferences,and then,a minimally adjusted optimization model is constructed,which in turn calculates the ranking of the alternatives.Fi-nally,the feasibility and effectiveness of the method are verified by an arithmetic example.

social trust networkopinion leaderDeGroot modelconsensus measureminimal adjustment

李胜利、舒婷、桑钰政

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太原师范学院数学与统计学院,山西晋中 030619

智能优化计算与区块链技术山西省重点实验室,山西晋中 030619

社会信任网络 意见领袖 DeGroot模型 共识度量 最小调整

国家自然科学基金山西省科技创新人才专项资助山西省哲学社会科学规划课题

719811902022040510020182022YJ111

2024

太原师范学院学报(自然科学版)
太原师范学院

太原师范学院学报(自然科学版)

影响因子:0.127
ISSN:1672-2027
年,卷(期):2024.23(1)
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