In arranging multiple pieces of furniture in a room, there are numerous possible arrangements. The complexity increases with the size of the room and the number of rooms and furniture. In this research, we propose an agent system that provides the user with the most suitable design plan based on the their preference data regarding the size and the position of furniture, taking into account the dependency between furniture pieces, in order to enable people to efficiently design complex interiors.