Trust Based Interactive Group Consensus Modeling and Its Application
A new social network multi-attribute group consensus evaluation method based on boundary credit is proposed to address the issue of inconsistent evaluation information types in multi-attribute group decision-making problems in social networks.The study converts uncertain linguistic information into a computable matrix,cites trust and distrust as variables for participants to establish social networks,uses multiple measurement methods to measure consensus,and uses a minimum adjustment feedback mechanism to obtain consensus in the evaluation matrix that exceeds the threshold.Finally,the effectiveness and rationality of the proposed method were verified through numerical examples.The calculation results show that this method can not only effectively integrate trust among participants into multi-attribute evaluation,but also achieve group consensus with the minimum adjustment cost,making the decision results more objective and has practical value.
uncertain language variablesmulti attribute decision-makingtrustgroup consensussocial network analysis
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