A Model for Mixed Attributions Cases Indexing
一个混合属性的实例检索模型

In this paper, the disadvantages of the existi ng cases indexing models are analyzed. A new kind of cases indexing model for mi xed attributions cases indexing based on fuzzy analogy preferred ratio is presen ted. This model uses fuzzy distance to describe the similar degree between the c orresponding attributions of two cases and is suitable for numerical, linguistic and mixed attributions cases indexing.