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Software engineers often need to identify and correct design defects, ıe} recurring design problems that hinder development and maintenance by making programs harder to comprehend and--or evolve. While detection of design defects is an actively researched area, their correction---mainly a manual and time-consuming activity --- is yet to be extensively investigated for automation. In this paper, we propose an automated approach for suggesting defect-correcting refactorings using relational concept analysis (RCA). The added value of RCA consists in exploiting the links between formal objects which abound in a software re-engineering context. We validated our approach on instances of the Blob design defect taken from four different open-source programs.