Exploring the Logic and Developing New Classification Methods in Attribute Hierarchy Model

Two new similarity indexes are introduced to explain the logic behind the classification methods A and B with attribute hierarchy model. Several kinds of new classification methods proposed are based on variations of the similarity between the expected response pattern and the observed response pattern. The results of simulation indicate that the new methods are better than methods A and B. And with the slips increasing the advantage is especially obvious.