<p>Against the backdrop of a deteriorating global environment, it is only right that the construction industry responds to the call to reduce carbon emissions, and thus research on the issue of green building material selection (GBMS) has become a focus of attention. However, the traditional Life Cycle Assessment (LCA) method for solving the GBMS problem takes too much time and effort, so this paper extends it to deal with it in a fuzzy environment. Picture fuzzy soft set (PiFSS) is a combination of picture fuzzy set (PFS) and soft set (SS), which makes up for the insufficiency of parameterized information of PFS. In this paper, the GBMS problem is extended to the PiFSS environment, and the picture fuzzy soft set similarity measure (PiFSS-SM) are proposed. The proposed PiFSS-SM is combined with the weighted power averaging (WPA) operator to compute the expert weights and construct the expert’s group decision matrix, which takes into account the subjective weights of the experts and eliminates the information bias of the experts. Then the objective weights were calculated by Criteria Importance Through Intercriteria Correlation (CRITIC) method and the weighted aggregated sum product assessment (WASPAS) method was used for Sorting. Finally, an example of the GBMS problem is introduced to illustrate the feasibility of the proposed method, and sufficient justifications are given for the selection of alternatives and criteria, and then the sensitivity is verified by varying the thresholds of the WASPAS method, and the robustness and feasibility of the proposed method is also verified by comparing it with a variety of classical decision-making methods. The final results show that the framework proposed in this paper provides a simple, efficient and reasonable method for solving the GBMS problem.</p>