针对传统配置实例检索算法极少考虑实例属性间的关联性,结合欧几里得距离,将灰色关联理论应用到产品配置实例检索中,建立产品配置实例检索的灰色关联理论模型。利用层次分析法和熵技术来确定实例属性的权重值,避免了指标权重确定的主观性,增加检索结果的分辨性。最后通过一实例,证明该方法具有较好的分辨性。
For the traditional algorithms of configuration case retrieval rarely consider the conjunctions of case' property, and property weight determined by the subjective value, combined with Euclidean distance, the gray theory applied to product configuration case retrieval, presented the grey conjunction degree (GCD) -based model of product configuration case retrieval. Used the analytic hierarchy process (AHP) and entropy technology to obtain the weight of case properties. Finally, example shows that this method has high discernment.