Consensus model of social network group decision-making based on trust relationship among experts and expert reliability

Due to people's increasing dependence on social networks, it is essential develop a consensus model considering not only their own factors but also the interaction between people. Both external trust relationship among experts and internal reliability of are important in decision-making. This paper focuses improving scientificity effectiveness decision-making presents combining expert network group (SN-GDM). A concept named matching degree proposed measure reliability. Meanwhile, linguistic information applied manage imprecise vague information. Matching expressed by 2-tuple model, experts' preferences measured probabilistic term set (PLTS). Subsequently, hybrid weight explored weigh importance group. Then introduced feedback mechanism developed produce some personalized recommendations with higher consensus. Finally, comparative example provided prove model.