Decision-Making Based on Case Similarity with Alterable Weights

In the light of the case-based decision theory (CBDT), this paper proposes that the attributes' weights corresponding to different acts should also be different. Based on this idea, the concept of case similarity with alterable weights is put forward, a decision-making method introduced, and optimization model for weights setting presented. Meanwhile, this method is applied to the case of examining vehicles' technical state under accident, and it proves effective.