With respect to multi-attribute group decision making problems under the probabilistic linguistic term set environment where the attribute weights are unknown, a new probabilistic linguistic multi-attribute group decision making method based on evaluation based on distance from average solution(EDAS) and consensus models is proposed. Firstly, considering the “limited rationality” of decision makers, regret theory is incorporated into the study of group decision making methods to measure the perceived utility of decision makers through their regret-ecstatic values. Secondly, the EDAS method is applied to solution ranking by combining the information processing of probabilistic linguistic term sets, and a method for determining the attribute weights of a probabilistic linguistic multi-attribute decision problem is given to obtain the initial solution based on the idea of maximizing deviation. Then, the initial solution is measured by consensus, and through dynamic feedback adjustment, the final solution that meets the wishes of most decision makers is obtained. Finally, the proposed method is validated with the selection of the shared bicycle design scheme as an example, and the feasibility and effectiveness of the method are illustrated by comparative analysis.