Large Scale Group Decision-Making Method Based on the WeChat-Like Platform and Its Application in Artwork Evaluation

With the rapid advancement of information and network technologies, the landscape of art communication has undergone significant transformation. Among various platforms, WeChat stands out for its robust social features, emerging as a central hub for professional artists to connect and collaborate. Leveraging WeChat’s unique capabilities for group interactions, this paper explores a consensus adjustment mechanism specifically designed for group decision-making in online art evaluations. The approach begins by segmenting decision-makers into subgroups based on their social network connections within WeChat, followed by an analysis of interpersonal tie strength within each subgroup. To enhance collaboration, the mechanism incorporates strategies to identify and address non-cooperative behaviors, ensuring effective management of such challenges. A case study on art evaluation demonstrates the practical value and efficacy of the proposed mechanism, highlighting its potential to enrich decision-making processes in digital art communities.