Abstract: Aiming at the problem that most of interactive group evaluation methods based on linguistic information are only suitable for small-and medium-scale group, a novel interactive large-scale group evaluation method based on linguistic information and complex network is proposed. First, the evaluators are regarded as nodes and a complex network is constructed by calculating the distance between nodes. Second, the node closeness degree and subgroup closeness degree are designed to measure the weights of nodes and subgroups. Then, two indicators of group’s satisfaction degree and group’s stability degree are defined to determine the interactive termination and obtain the stage weights. Finally, node density operator and node weighted operator are given to aggregate static group evaluation information and dynamic evaluation results. One exact example is applied to illustrate the availability and rationality of the proposed method. The research shows that this method can aggregate interactive large-scale group evaluation information more comprehensively and accurately, and the satisfaction degree of the results is more better.

Key words: complex network; linguistic information; interaction; large-scale; group evaluation; node density operator