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基于案例推理的关键是确定问题案例与案例库中的案例属性特征的相似度.针对相似度的算法问题,在分析比较多种已有算法的基础上,提出一种解决感知信息和案例库中的案例属性特征均为不确定或不完整信息的区间相似度计算模型,论证了该模型的计算结果适用于特定区间内微小区间相似的问题.结合某型艇抗沉辅助决策系统的预案推理问题,对已有的算法求解结果进行比较,证实该模型可提高案例相似度的计算结果灵敏度.
The key to case-based reasoning is to determine the similarity of the case attribute features of the case and the case base.Aiming at the algorithm of similarity, based on the analysis and comparison of many existing algorithms, a solution to the problem of perceived information and case base The case attribute features of all the models are the computational models of interval similarity of uncertain or incomplete information and the computational results of this model are validated to be similar to the problem of the similarity between the minutiae within a specific interval. , The results of the existing algorithms are compared to verify the model can improve the sensitivity of the calculation of the case similarity.