This study proposes a decision-making support method for designers by evaluating the characteristics of design spaces narrowed down through set-based design (SBD) in the early design stages, where uncertainty in design information is high. Specifically, diverse subspaces (i.e., solution ranges) are extracted from the initial broad design space using the SBD approach. Each subspace is evaluated using four metrics: region size, constraint satisfaction rate, independence among design variables, and designer preference with respect to performance variables. By presenting these evaluation results, the proposed method supports designers in identifying and configuring subspaces that reflect their design intent.
KODAMA et al. (Wed,) studied this question.