遍及 发表于 2025-3-23 11:57:31
http://reply.papertrans.cn/87/8698/869757/869757_11.pngdissolution 发表于 2025-3-23 15:39:42
http://reply.papertrans.cn/87/8698/869757/869757_12.png恸哭 发表于 2025-3-23 18:19:55
http://reply.papertrans.cn/87/8698/869757/869757_13.pngDALLY 发表于 2025-3-23 22:40:28
http://reply.papertrans.cn/87/8698/869757/869757_14.pngStable-Angina 发表于 2025-3-24 03:23:21
Punishment-Driven Consensus-Reaching Model Considering Trust Loss,ies four categories of consensus scenarios (namely highhigh, highlow, lowhigh, lowlow) through consensus metric and trust metric. Different adjustment strategies are established, and the moderating effect of trust loss on consensus-reaching and consensus cost is investigated.Cupping 发表于 2025-3-24 10:12:25
Minimum-Cost Consensus Model Considering Trust Loss,ng some trust. Consequently, an improved MCC model considering trust loss is developed. Finally, we present a numerical example to illustrate the feasibility of the proposed consensus model. A comparative analysis is conducted to explore the influence of trust loss on the CRP.neutralize 发表于 2025-3-24 13:40:36
Trust Cop-Kmeans Clustering Method,e the defect of grouping low-trust DMs caused by traditional clustering methods based on similarity measures. A comparative analysis is implemented to explore the influence of trust constraints on clustering.ineluctable 发表于 2025-3-24 17:35:21
Compatibility Distance Oriented Off-Center Clustering Method,tant characteristic of the clustering method is that it is based on the compatibility distance and specifies the upper and lower limits on the number of DMs in a cluster. The visualization and comparative analysis of the proposed clustering algorithm are discussed.Sigmoidoscopy 发表于 2025-3-24 22:31:51
http://reply.papertrans.cn/87/8698/869757/869757_19.png过剩 发表于 2025-3-25 01:31:56
2195-996X f social networks on clustering and proposes two clustering .This book focuses on the following three key topics in social network large-scale decision-making: structure-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering tru