A Model for Mixed Attributions Cases Indexing
Zhong Shi · 1999
In this paper, the disadvantages of the existing cases indexing models are analyzed. A new kind of cases indexing model for mixed attributions cases indexing based on fuzzy analogy preferred ratio is presented. This model uses fuzzy distance to describe the similar degree between the corresponding attributions of two cases and is suitable for numerical, linguistic and mixed attributions cases indexing.