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传统的基于实例推理系统中的检索模型缺乏对不确定环境的适应性。为此采用证据理论方法构造一种不确定实例检索模型，从而可以有效地处理实例检索中的不确定性，并能提高基于实例推理系统的性能。
The retrieval model in the traditional case-based reasoning system lacks adaptability to the uncertain environment. Therefore, an indefinite instance retrieval model is constructed by using evidence theory, which can effectively deal with the uncertainty in case retrieval and improve the performance of case-based reasoning system.