Abstract: Using principle of case-based reasoning (CBR), this paper presents an approach for prediction of spare parts demand. The problems of similarity identification, similarity function and similarity benchmark system are studied. A CBR software system is developed for prediction of spare parts demand.

摘要： 运用基于案例的推理（ＣＢＲ）原理，提出一种备件需求的预测技术，研究了相似识别、相似度、相似基准系统等问题，并设计、开发基于案例推理的备件需求预测软件系统。

关键词: 案例, 备件, 预测

CLC Number: 

• TP311.53